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Sample records for drug interactions clinical

  1. Clinical nutrition and drug interactions

    PubMed Central

    Ekincioğlu, Aygin Bayraktar; Demirkan, Kutay

    2013-01-01

    A drug’s plasma level, pharmacological effects or side effects, elimination, physicochemical properties or stability could be changed by interactions of drug-drug or drug-nutrition products in patients who receive enteral or parenteral nutritional support. As a result, patients might experience ineffective outcomes or unexpected effects of therapy (such as drug toxicity, embolism). Stability or incompatibility problems between parenteral nutrition admixtures and drugs might lead to alterations in expected therapeutic responses from drug and/or parenteral nutrition, occlusion in venous catheter or symptoms or mortality due to infusion of composed particles. Compatibilities between parenteral nutrition and drugs are not always guaranteed in clinical practice. Although the list of compatibility or incompatibilities of drugs are published for the use of clinicians in their practices, factors such as composition of parenteral nutrition admixture, drug concentration, contact time in catheter, temperature of the environment and exposure to light could change the status of compatibilities between drugs and nutrition admixtures. There could be substantial clinical changes occurring in the patient’s nutritional status and pharmacological effects of drugs due to interactions between enteral nutrition and drugs. Drug toxicity and ineffective nutritional support might occur as a result of those predictable interactions. Although administration of drugs via feeding tube is a complex and problematic route for drug usage, it is possible to minimise the risk of tube occlusion, decreased effects of drug and drug toxicity by using an appropriate technique. Therefore, it is important to consider pharmacological dosage forms of drugs while administering drugs via a feeding tube. In conclusion, since the pharmacists are well-experienced and more knowledgeable professionals in drugs and drug usage compared to other healthcare providers, it is suggested that provision of information

  2. Clinically relevant drug interactions with antiepileptic drugs

    PubMed Central

    Perucca, Emilio

    2006-01-01

    Some patients with difficult-to-treat epilepsy benefit from combination therapy with two or more antiepileptic drugs (AEDs). Additionally, virtually all epilepsy patients will receive, at some time in their lives, other medications for the management of associated conditions. In these situations, clinically important drug interactions may occur. Carbamazepine, phenytoin, phenobarbital and primidone induce many cytochrome P450 (CYP) and glucuronyl transferase (GT) enzymes, and can reduce drastically the serum concentration of associated drugs which are substrates of the same enzymes. Examples of agents whose serum levels are decreased markedly by enzyme-inducing AEDs, include lamotrigine, tiagabine, several steroidal drugs, cyclosporin A, oral anticoagulants and many cardiovascular, antineoplastic and psychotropic drugs. Valproic acid is not enzyme inducer, but it may cause clinically relevant drug interactions by inhibiting the metabolism of selected substrates, most notably phenobarbital and lamotrigine. Compared with older generation agents, most of the recently developed AEDs are less likely to induce or inhibit the activity of CYP or GT enzymes. However, they may be a target for metabolically mediated drug interactions, and oxcarbazepine, lamotrigine, felbamate and, at high dosages, topiramate may stimulate the metabolism of oral contraceptive steroids. Levetiracetam, gabapentin and pregabalin have not been reported to cause or be a target for clinically relevant pharmacokinetic drug interactions. Pharmacodynamic interactions involving AEDs have not been well characterized, but their understanding is important for a more rational approach to combination therapy. In particular, neurotoxic effects appear to be more likely with coprescription of AEDs sharing the same primary mechanism of action. PMID:16487217

  3. Clinically significant drug interactions with atypical antipsychotics.

    PubMed

    Kennedy, William Klugh; Jann, Michael W; Kutscher, Eric C

    2013-12-01

    Atypical antipsychotics [also known as second-generation antipsychotics (SGAs)] have become a mainstay therapeutic treatment intervention for patients with schizophrenia, bipolar disorders and other psychotic conditions. These agents are commonly used with other medications--most notably, antidepressants and antiepileptic drugs. Drug interactions can take place by various pharmacokinetic, pharmacodynamic and pharmaceutical mechanisms. The pharmacokinetic profile of each SGA, especially with phase I and phase II metabolism, can allow for potentially significant drug interactions. Pharmacodynamic interactions arise when agents have comparable receptor site activity, which can lead to additive or competitive effects without alterations in measured plasma drug concentrations. Additionally, the role of drug transporters in drug interactions continues to evolve and may effect both pharmacokinetic and pharmacodynamic interactions. Pharmaceutical interactions occur when physical incompatibilities take place between agents prior to drug absorption. Approximate therapeutic plasma concentration ranges have been suggested for a number of SGAs. Drug interactions that markedly increase or decrease the concentrations of these agents beyond their ranges can lead to adverse events or diminished clinical efficacy. Most clinically significant drug interactions with SGAs occur via the cytochrome P450 (CYP) system. Many but not all drug interactions with SGAs are identified during drug discovery and pre-clinical development by employing a series of standardized in vitro and in vivo studies with known CYP inducers and inhibitors. Later therapeutic drug monitoring programmes, clinical studies and case reports offer methods to identify additional clinically significant drug interactions. Some commonly co-administered drugs with a significant potential for drug-drug interactions with selected SGAs include some SSRIs. Antiepileptic mood stabilizers such as carbamazepine and valproate, as

  4. Clinical drug-drug interactions: focus on venlafaxine.

    PubMed

    Magalhães, Paulo; Alves, Gilberto; LLerena, Adrián; Falcão, Amílcar

    2015-03-01

    Venlafaxine (VEN) is an antidepressant agent widely used nowadays as an alternative to selective serotonin reuptake inhibitors (SSRIs), particularly for the treatment of SSRI-resistant depression. As the co-administration of antidepressant drugs with other medications is very common in clinical practice, the potential risk for pharmacokinetic and/or pharmacodynamic drug interactions that may be clinically meaningful increases. Bearing in mind that VEN has exhibited large variability in antidepressant response, besides the individual genetic background, several other factors may contribute to those variable clinical outcomes, such as the occurrence of significant drug-drug interactions. Indeed, the presence of drug interactions is possibly one of the major reasons for interindividual variability, and their anticipation should be considered in conjugation with other specific patients' characteristics to optimize the antidepressant therapy. Hence, a comprehensive overview of the pharmacokinetic- and pharmacodynamic-based drug interactions involving VEN is herein provided, particularly addressing their clinical relevance.

  5. Clinically Relevant Drug Interactions with Anti-Alzheimer's Drugs.

    PubMed

    Caraci, Filippo; Sultana, Janet; Drago, Filippo; Spina, Edoardo

    2017-01-01

    The aging world population had led to an increase in the prevalence of Alzheimer's disease (AD). The drugs used to slow down the onset of AD, galantamine, donepezil, rivastigmine and memantine, are generally well-tolerated. However, drug interactions between these drugs and other drugs are an important aspect of patient safety that should be borne in mind, particularly given the high burden of polypharmacy in the elderly. The aim of this review is to provide an updated review of clinically significant drug-drug interactions concerning drugs approved for AD. PubMed was searched for relevant keywords. No time limit was imposed but only articles in English published in peer-reviewed journals were selected. Relevant literature was also identified from the references of identified articles. Further information was obtained from drug summary of product characteristics. The major pharmacokinetic interactions identified concerned fluoxetine, paroxetine and ketoconazole when used with galantamine or donepezil. On the other hand, the major potential pharmacodynamic interactions concerned anti-dementia drugs and general anesthesia agents, anti-cholinergic drugs, conventional antipsychotics and bradycardia-inducing drugs. In clinical practice memantine shows a lower potential for pharmacodynamic drug-drug interactions (DDIs) compared to other drug classes. The concomitant use of anti-dementia drugs with other drugs can have variable clinical effects, making appropriate prescribing of these drugs very challenging. A simple and coherent way of presenting evidence on complex drug interaction information from heterogenous sources to clinicians is needed in order for the voluminous data available to have an impact on clinical practice. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  6. Clinically significant drug interactions with newer antidepressants.

    PubMed

    Spina, Edoardo; Trifirò, Gianluca; Caraci, Filippo

    2012-01-01

    After the introduction of selective serotonin reuptake inhibitors (SSRIs), other newer antidepressants with different mechanisms of action have been introduced in clinical practice. Because antidepressants are commonly prescribed in combination with other medications used to treat co-morbid psychiatric or somatic disorders, they are likely to be involved in clinically significant drug interactions. This review examines the drug interaction profiles of the following newer antidepressants: escitalopram, venlafaxine, desvenlafaxine, duloxetine, milnacipran, mirtazapine, reboxetine, bupropion, agomelatine and vilazodone. In general, by virtue of a more selective mechanism of action and receptor profile, newer antidepressants carry a relatively low risk for pharmacodynamic drug interactions, at least as compared with first-generation antidepressants, i.e. monoamine oxidase inhibitors (MAOIs) and tricyclic antidepressants (TCAs). On the other hand, they are susceptible to pharmacokinetic drug interactions. All new antidepressants are extensively metabolized in the liver by cytochrome P450 (CYP) isoenzymes, and therefore may be the target of metabolically based drug interactions. Concomitant administration of inhibitors or inducers of the CYP isoenzymes involved in the biotransformation of specific antidepressants may cause changes in their plasma concentrations. However, due to their relatively wide margin of safety, the consequences of such kinetic modifications are usually not clinically relevant. Conversely, some newer antidepressants may cause pharmacokinetic interactions through their ability to inhibit specific CYPs. With regard to this, duloxetine and bupropion are moderate inhibitors of CYP2D6. Therefore, potentially harmful drug interactions may occur when they are coadministered with substrates of these isoforms, especially compounds with a narrow therapeutic index. The other new antidepressants are only weak inhibitors or are not inhibitors of CYP isoforms at

  7. [Clinically significant drug-drug interactions between analgesics and psychotopics].

    PubMed

    Strobach, Dorothea

    2012-07-01

    Combining analgesic and psychotropic drugs can lead to pharmacodynamic and pharmacokinetic drug interactions. Under treatment with several serotonergic substances serotonin syndrome can occur, e.g., with certain opioids and antidepressant drugs. Serotonin reuptake inhibitors also affect the serotonin level in platelets, this can raise the risk for gastrointestinal bleeding especially in combination with non-steroidal antirheumatic drugs. Anticholinergic effects and sedation are common side effects of psychotropic but also analgesic drugs with possible additive results. A wide range of interactions between analgesics and psychotropics can occure during metabolism, especially via the cytochrome-P-system. The clinical relevance of warnings on drug interactions from data banks has always to be judged for the individual patient.

  8. Clinically relevant drug-drug interactions between antiretrovirals and antifungals

    PubMed Central

    Vadlapatla, Ramya Krishna; Patel, Mitesh; Paturi, Durga K; Pal, Dhananjay; Mitra, Ashim K

    2015-01-01

    Introduction Complete delineation of the HIV-1 life cycle has resulted in the development of several antiretroviral drugs. Twenty-five therapeutic agents belonging to five different classes are currently available for the treatment of HIV-1 infections. Advent of triple combination antiretroviral therapy has significantly lowered the mortality rate in HIV patients. However, fungal infections still represent major opportunistic diseases in immunocompromised patients worldwide. Areas covered Antiretroviral drugs that target enzymes and/or proteins indispensable for viral replication are discussed in this article. Fungal infections, causative organisms, epidemiology and preferred treatment modalities are also outlined. Finally, observed/predicted drug-drug interactions between antiretrovirals and antifungals are summarized along with clinical recommendations. Expert opinion Concomitant use of amphotericin B and tenofovir must be closely monitored for renal functioning. Due to relatively weak interactive potential with the CYP450 system, fluconazole is the preferred antifungal drug. High itraconazole doses (> 200 mg/day) are not advised in patients receiving booster protease inhibitor (PI) regimen. Posaconazole is contraindicated in combination with either efavirenz or fosamprenavir. Moreover, voriconazole is contraindicated with high-dose ritonavir-boosted PI. Echino-candins may aid in overcoming the limitations of existing antifungal therapy. An increasing number of documented or predicted drug-drug interactions and therapeutic drug monitoring may aid in the management of HIV-associated opportunistic fungal infections. PMID:24521092

  9. Drug interactions with cisapride: clinical implications.

    PubMed

    Michalets, E L; Williams, C R

    2000-07-01

    Cisapride, a prokinetic agent, has been used for the treatment of a number of gastrointestinal disorders, particularly gastro-oesophageal reflux disease in adults and children. Since 1993, 341 cases of ventricular arrhythmias, including 80 deaths, have been reported to the US Food and Drug Administration. Marketing of the drug has now been discontinued in the US; however, it is still available under a limited-access protocol. Knowledge of the risk factors for cisapride-associated arrhythmias will be essential for its continued use in those patients who meet the eligibility criteria. This review summarises the published literature on the pharmacokinetic and pharmacodynamic interactions of cisapride with concomitantly administered drugs, providing clinicians with practical recommendations for avoiding these potentially fatal events. Pharmacokinetic interactions with cisapride involve inhibition of cytochrome P450 (CYP) 3A4, the primary mode of elimination of cisapride, thereby increasing plasma concentrations of the drug. The macrolide antibacterials clarithromycin, erythromycin and troleandomycin are inhibitors of CYP3A4 and should not be used in conjunction with cisapride. Azithromycin is an alternative. Similarly, azole antifungal agents such as fluconazole, itraconazole and ketoconazole are CYP3A4 inhibitors and their concomitant use with cisapride should be avoided. Of the antidepressants nefazodone and fluvoxamine should be avoided with cisapride. Data with fluoxetine is controversial, we favour the avoidance of its use. Citalopram, paroxetine and sertraline are alternatives. The HIV protease inhibitors amprenavir, indinavir, nelfinavir, ritonavir and saquinavir inhibit CYP3A4. Clinical experience with cisapride is lacking but avoidance with all protease inhibitors is recommended, although saquinavir is thought to have clinically insignificant effects on CYP3A4. Delavirdine is also a CYP3A4 inhibitor and should be avoided with cisapride. We also recommend

  10. Clinical Drug-Drug Interaction Evaluations to Inform Drug Use and Enable Drug Access.

    PubMed

    Rekić, Dinko; Reynolds, Kellie S; Zhao, Ping; Zhang, Lei; Yoshida, Kenta; Sachar, Madhav; Piquette Miller, Micheline; Huang, Shiew-Mei; Zineh, Issam

    2017-09-01

    Clinical drug-drug interactions (DDIs) can occur when multiple drugs are taken by the same patient. Significant DDIs can result in clinical toxicity or treatment failure. Therefore, DDI assessment is an integral part of drug development and the benefit-risk assessment of new therapies. Regulatory agencies including the Food and Drug Administration, the European Medicines Agency, and the Pharmaceuticals and Medical Devices Agency of Japan have made recommendations in their DDI guidance documents on various methodologies (in vitro, in silico, and clinical) to assess DDI potential and inform patient management strategies. This commentary focuses on clinical DDI evaluation for the purpose of drug development and regulatory evaluation. Published by Elsevier Inc.

  11. Clinical pharmacokinetics, metabolism, and drug-drug interaction of carfilzomib.

    PubMed

    Wang, Zhengping; Yang, Jinfu; Kirk, Christopher; Fang, Ying; Alsina, Melissa; Badros, Ashraf; Papadopoulos, Kyriakos; Wong, Alvin; Woo, Tina; Bomba, Darrin; Li, Jin; Infante, Jeffrey R

    2013-01-01

    Carfilzomib, an irreversible proteasome inhibitor, has a favorable safety profile and significant antitumor activity in patients with relapsed and refractory multiple myeloma (MM). Here we summarize the clinical pharmacokinetics (PK), metabolism, and drug-drug interaction (DDI) profile of carfilzomib. The PK of carfilzomib, infused over 2-10 minutes, was evaluated in patients with solid tumors or MM. Metabolites of carfilzomib were characterized in patient plasma and urine samples. In vitro drug metabolism and DDI studies were conducted in human liver microsomes and hepatocytes. A clinical DDI study was conducted in patients with solid tumors to evaluate the effect of carfilzomib on CYP3A activity. Plasma concentrations of carfilzomib declined rapidly and in a biphasic manner after intravenous administration. The systemic half-life was short and the systemic clearance rate was higher than hepatic blood flow. Carfilzomib was cleared largely extrahepatically via peptidase cleavage and epoxide hydrolysis. Cytochrome P450-mediated metabolism played a minor role, suggesting that coadministration of P450 inhibitors or inducers is unlikely to change its PK profile. Carfilzomib showed direct and time-dependent inhibition of CYP3A in human liver microsome preparations and exposure to carfilzomib resulted in reductions in CYP3A and 1A2 gene expression in cultured human hepatocytes. However, administration of carfilzomib did not affect the PK of midazolam in patients with solid tumors, and there were no safety signals indicative of potential drug interactions. We conclude that the rapid systemic clearance and short half-life of carfilzomib limit clinically significant DDI.

  12. Clinical drug interactions: a holistic view.

    PubMed

    Rahal, Anu; Ahmad, A H; Kumar, Amit; Mahima; Verma, Amit Kumar; Chakraborty, Sandip; Dhama, Kuldeep

    2013-08-15

    Every time a drug is administered to the animal to treat an ailment, no matter whether it is acute or chronic manifestation, it usually goes together with some other prescription medicine, OTC (Over the counter) formulation, herbs or even food. All the xenobiotics such as drugs, toxins and food components as well as the endogenous compound that are formed in the animal body as a routine phenomenon exert a stimulatory or inhibitory effect on the different physiological and biochemical processes going in the body. These effects may alter the normal metabolism and/or drug transport or its efficacy drastically and thus expose the man and animals to the risk of a potentially dangerous interaction. The present review discusses these potential reactions and their mechanisms that help in navigating the hazardous combinations of drugs with other medicines, food, herbs, vitamins and minerals with confidence.

  13. [Drug interactions and clinical relevance: it all began with cheese].

    PubMed

    Carrillo Norte, Juan Antonio

    2012-04-01

    In a drug interaction, the effects of one drug can be increased or decreased or a quite new effect produced by the previous, concurrent or subsequent administration of another substance, including prescription and nonprescription drugs, food, tobacco or alcohol. The effect of the interaction can be desirable, inconsequential, or adverse. The increasing number of drugs available and the increasing use of multidrug therapeutic regimens enhance the potential for drug interactions. However, in clinical practice, most interactions are not significant or rarely of significance. It is when the interaction leads to adverse consequences that it comes to the attention of the patient and physician. Interactions may occur by pharmacokinetic or pharmacodynamics mechanisms. Pharmacokinetic interactions represent the modification of one substance (the interacting substance) on the ADME processes of absorption, distribution, metabolism or excretion of a drug (the index drug). Subsequently, it may lead to changes in the concentration of the index drug at the receptor sites. Drug interactions with a pharmacodynamic basis involve actions on the same receptor or physiological systems through either synergism or antagonism. Many drug interactions can be predicted if the pharmacodynamics effects, pharmacokinetic properties and mechanisms of action of the interacting agents are known. The most obvious interactions are those producing altered pharmacokinetic of drugs with a low therapeutic index (oral anticoagulants, antidiabetic drugs, digoxin, benzodiazepines and immunosuppressant and cytotoxic drugs).

  14. Clinical risk management of herb–drug interactions

    PubMed Central

    De Smet, Peter A G M

    2007-01-01

    The concomitant use of conventional and herbal medicines can lead to clinically relevant herb–drug interactions. Clinical risk management offers a systematic approach to minimize the untoward consequences of these interactions by paying attention to: (i) risk identification and assessment; (ii) development and execution of risk reduction strategies; and (iii) evaluation of risk reduction strategies. This paper reviews which steps should be explored or taken in these domains to improve the clinical risk management of adverse herb–drug interactions. PMID:17116126

  15. Clinically important drug-drug interactions in primary care.

    PubMed

    Dhabali, A A H; Awang, R; Zyoud, S H

    2012-08-01

    Drug-drug interactions (DDIs) cause considerable morbidity and mortality worldwide and may lead to hospital admission. Sophisticated computerized drug information and monitoring systems, more recently established in many of the emerging economies, including Malaysia, are capturing useful information on prescribing. Our aim is to report on an investigation of potentially serious DDIs, using a university primary care-based system capturing prescription records from its primary care services. We retrospectively collected data from two academic years over 20 months from computerized databases at the Universiti Sains Malaysia (USM) from users of the USM primary care services. Three hundred and eighty-six DDI events were observed in a cohort of 208 exposed patients from a total of 23,733 patients, representing a 2-year period prevalence of 876·4 per 100,000 patients. Of the 208 exposed patients, 138 (66·3%) were exposed to one DDI event, 29 (13·9%) to two DDI events, 15 (7·2%) to three DDI events, 6 (2·9%) to four DDI events and 20 (9·6%) to more than five DDI events. Overall, an increasing mean number of episodes of DDIs was noted among exposed patients within the age category ≥70 years (P=0·01), an increasing trend in the number of medications prescribed (P<0·001) and an increasing trend in the number of long-term therapeutic groups (P<0·001). We describe the prevalence of clinically important DDIs in an emerging economy setting and identify the more common potentially serious DDIs. In line with the observations in developed economies, a higher number of episodes of DDIs were seen in patients aged ≥70 years and with more medications prescribed. The easiest method to reduce the frequency of DDIs is to reduce the number of medications prescribed. Therapeutic alternatives should be selected cautiously. © 2011 Blackwell Publishing Ltd.

  16. Clinically relevant drug–drug interactions in oncology

    PubMed Central

    McLeod, Howard L

    1998-01-01

    Although anticancer agents are one of the most toxic classes of medication prescribed today, there is relatively little information available about clinically relevant drug–drug interactions. Pharmacokinetic drug interactions have been described, including alterations in absorption, catabolism, and excretion. For example, an increased bioavailability of 6-mercaptopurine has been observed when combined with either allopurinol or methotrexate, leading to increased toxicity in some patients. Induction of etoposide or teniposide clearance by anticonvulsants has also been described, resulting in a lower systemic exposure and risk for lower anticancer activity. Alterations in elimination of methotrexate has been observed with probenecid, presumably through competition for renal secretion. There are also several examples of pharmacodynamic interactions. The combination of 5-fluorouracil plus folinic acid results in more efficient inhibition of thymidylate synthase, a finding which is now utilized routinely in the treatment of colorectal cancer. Improvements in the in vitro and early clinical testing now allow a relatively high degree of prediction of potential clinical drug interactions, prior to observations of untoward drug effects. In conclusion, drug interactions among commonly used anticancer agents have been identified. Their clinical significance can have more impact than many other classes of medications due to the narrow therapeutic index of antineoplastic agents and the potential for lethal side-effects. It is only through prospective, preclinical and early clinical evaluation that the presence of clinically significant drug interactions can be identified and the information used to provide better therapy for this significant health problem. PMID:9663808

  17. Clinically relevant pharmacokinetic herb-drug interactions in antiretroviral therapy

    USDA-ARS?s Scientific Manuscript database

    For healthcare professionals, the volume of literature available on herb-drug interactions often makes it difficult to separate experimental/potential interactions from those deemed clinically relevant. There is a need for concise and conclusive information to guide pharmacotherapy in HIV/AIDS. In t...

  18. Update on clinically significant drug interactions in dermatology.

    PubMed

    Barranco, Vincent P

    2006-04-01

    Although there are thousands of drug interactions (DIs) listed in computers and manuals, only about 10% are clinically significant. Equally disturbing is these systems fail to detect up to one third of all dangerous DIs. This update on clinically significant DIs is current through September 2005 and discusses systemic drugs important to dermatologists. In addition, 4 aspects of DIs are discussed that are helpful in replacing rote memory with a step-by-step, logical approach based on scientific evidence.

  19. Clinically and pharmacologically relevant interactions of antidiabetic drugs

    PubMed Central

    May, Marcus; Schindler, Christoph

    2016-01-01

    Patients with type 2 diabetes mellitus often require multifactorial pharmacological treatment due to different comorbidities. An increasing number of concomitantly taken medications elevate the risk of the patient experiencing adverse drug effects or drug interactions. Drug interactions can be divided into pharmacokinetic and pharmacodynamic interactions affecting cytochrome (CYP) enzymes, absorption properties, transporter activities and receptor affinities. Furthermore, nutrition, herbal supplements, patient’s age and gender are of clinical importance. Relevant drug interactions are predominantly related to sulfonylureas, thiazolidinediones and glinides. Although metformin has a very low interaction potential, caution is advised when drugs that impair renal function are used concomitantly. With the exception of saxagliptin, dipeptidyl peptidase-4 (DPP-4) inhibitors also show a low interaction potential, but all drugs affecting the drug transporter P-glycoprotein should be used with caution. Incretin mimetics and sodium–glucose cotransporter-2 (SGLT-2) inhibitors comprise a very low interaction potential and are therefore recommended as an ideal combination partner from the clinical–pharmacologic point of view. PMID:27092232

  20. Clinical Drug-Drug Pharmacokinetic Interaction Potential of Sucralfate with Other Drugs: Review and Perspectives.

    PubMed

    Sulochana, Suresh P; Syed, Muzeeb; Chandrasekar, Devaraj V; Mullangi, Ramesh; Srinivas, Nuggehally R

    2016-10-01

    Sucralfate, a complex of aluminium hydroxide with sulfated sucrose, forms a strong gastrointestinal tract (GIT) mucosal barrier with excellent anti-ulcer property. Because sucralfate does not undergo any significant oral absorption, sucralfate resides in the GIT for a considerable length of time. The unabsorbed sucralfate may alter the pharmacokinetics of the oral drugs by impeding its absorption and reducing the oral bioavailability. Because of the increased use of sucralfate, it was important to provide a reappraisal of the published clinical drug-drug interaction studies of sucralfate with scores of drugs. This review covers several category of drugs such as non-steroidal anti-inflammatory drugs, fluoroquinolones, histamine H2-receptor blockers, macrolides, anti-fungals, anti-diabetics, salicylic acid derivatives, steroidal anti-inflammatory drugs and provides pharmacokinetic data summary along with study design, objectives and key remarks. While the loss of oral bioavailability was significant for the fluoroquinolone class, it generally varied for other classes of drugs, suggesting that impact of the co-administration of sucralfate is manageable in clinical situations. Given the technology advancement in formulation development, it may be in order feasible to develop appropriate formulation strategies to either avoid or minimize the absorption-related issues when co-administered with sucralfate. It is recommended that consideration of both in vitro and preclinical studies may be in order to gauge the level of interaction of a drug with sucralfate. Such data may aid in the development of appropriate strategies to navigate the co-administration of sucralfate with other drugs in this age of polypharmacy.

  1. Clinically Relevant Pharmacokinetic Herb-drug Interactions in Antiretroviral Therapy.

    PubMed

    Fasinu, Pius S; Gurley, Bill J; Walker, Larry A

    2015-01-01

    For healthcare professionals, the volume of literature available on herb-drug interactions often makes it difficult to separate experimental/potential interactions from those deemed clinically relevant. There is a need for concise and conclusive information to guide pharmacotherapy in HIV/AIDS. In this review, the bases for potential interaction of medicinal herbs with specific antiretroviral drugs are presented, and several botanicals are discussed for which clinically relevant interactions in humans are established. Such studies have provided, in most cases, sufficient ground to warrant the avoidance of concurrent administration of antiretroviral (ARVs) drugs with St John's wort (Hypericum perforatum), black pepper (Piper species) and grapefruit juice. Other botanicals that require caution in the use with antiretrovirals include African potato (Hypoxis hemerocallidea), ginkgo (Ginkgo biloba), ginseng (Panax species), garlic (Allium sativum), goldenseal (Hydrastis canadensis) and kava kava (Piper methysticum). The knowledge of clinically significant herb-drug interaction will be important in order to avoid herb-induced risk of sub-therapeutic exposure to ARVs (which can lead to viral resistance) or the precipitation of toxicity (which may lead to poor compliance and/or discontinuation of antiretroviral therapy).

  2. Drug interaction networks: an introduction to translational and clinical applications.

    PubMed

    Azuaje, Francisco

    2013-03-15

    This article introduces fundamental concepts to guide the analysis and interpretation of drug-target interaction networks. An overview of the generation and integration of interaction networks is followed by key strategies for extracting biologically meaningful information. The article highlights how this information can enable novel translational and clinically motivated applications. Important advances for the discovery of new treatments and for the detection of adverse drug effects are discussed. Examples of applications and findings originating from cardiovascular research are presented. The review ends with a discussion of crucial challenges and opportunities.

  3. USING SEMANTIC PREDICATIONS TO UNCOVER DRUG-DRUG INTERACTIONS IN CLINICAL DATA

    PubMed Central

    Zhang, Rui; Cairelli, Michael J.; Fiszman, Marcelo; Rosemblat, Graciela; Kilicoglu, Halil; Rindflesch, Thomas C.; Pakhomov, Serguei V.; Melton, Genevieve B.

    2014-01-01

    In this study we report on potential drug-drug interactions between drugs occurring in patient clinical data. Results are based on relationships in SemMedDB, a database of structured knowledge extracted from all MEDLINE citations (titles and abstracts) using SemRep. The core of our methodology is to construct two potential drug-drug interaction schemas, based on relationships extracted from SemMedDB. In the first schema, Drug1 and Drug2 interact through Drug1’s effect on some gene, which in turn affects Drug2. In the second, Drug1 affects Gene1, while Drug2 affects Gene2. Gene1 and Gene2, together, then have an effect on some biological function. After checking each drug pair from the medication lists of each of 22 patients, we found 19 known and 62 unknown drug-drug interactions using both schemas. For example, our results suggest that the interaction of Lisinopril, an ACE inhibitor commonly prescribed for hypertension, and the antidepressant sertraline can potentially increase the likelihood and possibly the severity of psoriasis. We also assessed the relationships extracted by SemRep from a linguistic perspective and found that the precision of SemRep was 0.58 for 300 randomly selected sentences from MEDLINE. Our study demonstrates that the use of structured knowledge in the form of relationships from the biomedical literature can support the discovery of potential drug-drug interactions occurring in patient clinical data. Moreover, SemMedDB provides a good knowledge resource for expanding the range of drugs, genes, and biological functions considered as elements in various drug-drug interaction pathways. PMID:24448204

  4. Comparative analysis of three drug-drug interaction screening systems against probable clinically relevant drug-drug interactions: a prospective cohort study.

    PubMed

    Muhič, Neža; Mrhar, Ales; Brvar, Miran

    2017-07-01

    Drug-drug interaction (DDI) screening systems report potential DDIs. This study aimed to find the prevalence of probable DDI-related adverse drug reactions (ADRs) and compare the clinical usefulness of different DDI screening systems to prevent or warn against these ADRs. A prospective cohort study was conducted in patients urgently admitted to medical departments. Potential DDIs were checked using Complete Drug Interaction®, Lexicomp® Online™, and Drug Interaction Checker®. The study team identified the patients with probable clinically relevant DDI-related ADRs on admission, the causality of which was assessed using the Drug Interaction Probability Scale (DIPS). Sensitivity, specificity, and positive and negative predictive values of screening systems to prevent or warn against probable DDI-related ADRs were evaluated. Overall, 50 probable clinically relevant DDI-related ADRs were found in 37 out of 795 included patients taking at least two drugs, most common of them were bleeding, hyperkalemia, digitalis toxicity, and hypotension. Complete Drug Interaction showed the best sensitivity (0.76) for actual DDI-related ADRs, followed by Lexicomp Online (0.50), and Drug Interaction Checker (0.40). Complete Drug Interaction and Drug Interaction Checker had positive predictive values of 0.07; Lexicomp Online had 0.04. We found no difference in specificity and negative predictive values among these systems. DDI screening systems differ significantly in their ability to detect probable clinically relevant DDI-related ADRs in terms of sensitivity and positive predictive value.

  5. Drug-drug interactions with tyrosine-kinase inhibitors: a clinical perspective.

    PubMed

    van Leeuwen, Roelof W F; van Gelder, Teun; Mathijssen, Ron H J; Jansman, Frank G A

    2014-07-01

    In the past decade, many tyrosine-kinase inhibitors have been introduced in oncology and haemato-oncology. Because this new class of drugs is extensively used, serious drug-drug interactions are an increasing risk. In this Review, we give a comprehensive overview of known or suspected drug-drug interactions between tyrosine-kinase inhibitors and other drugs. We discuss all haemato-oncological and oncological tyrosine-kinase inhibitors that had been approved by Aug 1, 2013, by the US Food and Drug Administration or the European Medicines Agency. Various clinically relevant drug interactions with tyrosine-kinase inhibitors have been identified. Most interactions concern altered bioavailability due to altered stomach pH, metabolism by cytochrome P450 isoenzymes, and prolongation of the QTc interval. To guarantee the safe use of tyrosine-kinase inhibitors, a drugs review for each patient is needed. This Review provides specific recommendations to guide haemato-oncologists, oncologists, and clinical pharmacists, through the process of managing drug-drug interactions during treatment with tyrosine-kinase inhibitors in daily clinical practice.

  6. Clinically significant drug interactions with antacids: an update.

    PubMed

    Ogawa, Ryuichi; Echizen, Hirotoshi

    2011-10-01

    One may consider that drug-drug interactions (DDIs) associated with antacids is an obsolete topic because they are prescribed less frequently by medical professionals due to the advent of drugs that more effectively suppress gastric acidity (i.e. histamine H(2)-receptor antagonists [H2RAs] and proton pump inhibitors [PPIs]). Nevertheless, the use of antacids by ambulant patients may be ever increasing, because they are freely available as over-the-counter (OTC) drugs. Antacids consisting of weak basic substances coupled with polyvalent cations may alter the rate and/or the extent of absorption of concomitantly administered drugs via different mechanisms. Polyvalent cations in antacid formulations may form insoluble chelate complexes with drugs and substantially reduce their bioavailability. Clinical studies demonstrated that two classes of antibacterials (tetracyclines and fluoroquinolones) are susceptible to clinically relevant DDIs with antacids through this mechanism. Countermeasures against this type of DDI include spacing out the dosing interval - taking antacid either 4 hours before or 2 hours after administration of these antibacterials. Bisphosphonates may be susceptible to DDIs with antacids by the same mechanism, as described in the prescription information of most bisphosphonates, but no quantitative data about the DDIs are available. For drugs with solubility critically dependent on pH, neutralization of gastric fluid by antacids may alter the dissolution of these drugs and the rate and/or extent of their absorption. However, the magnitude of DDIs elicited by antacids through this mechanism is less than that produced by H2RAs or PPIs; therefore, the clinical relevance of such DDIs is often obscure. Magnesium ions contained in some antacid formulas may increase gastric emptying, thereby accelerating the rate of absorption of some drugs. However, the clinical relevance of this is unclear in most cases because the difference in plasma drug concentration

  7. Clinical drugs that interact with St. John's wort and implication in drug development.

    PubMed

    Di, Yuan Ming; Li, Chun Guang; Xue, Charlie Changli; Zhou, Shu-Feng

    2008-01-01

    St. John's wort (Hypericum perforatum, SJW) is one of the most commonly used herbal antidepressants for the treatment of minor to moderate depression. A major safety concern about SJW is its ability to alter the pharmacokinetics and/or clinical response of a variety of clinically important drugs that have distinctive chemical structure, mechanism of action and metabolic pathways. This review highlights and updates the knowledge on clinical interactions of prescribed drugs with SJW and the implication in drug development. A number of clinically significant interactions of SJW have been identified with conventional drugs, including anticancer agents (imatinib and irinotecan), anti-HIV agents (e.g. indinavir, lamivudine and nevirapine), anti-inflammatory agents (e.g. ibuprofen and fexofenadine), antimicrobial agents (e.g. erythromycin and voriconazole), cardiovascular drugs (e.g. digoxin, ivabradine, warfarin, verapamil, nifedipine and talinolol), central nervous system agents (e.g. amitriptyline, buspirone, phenytoin, methadone, midazolam, alprazolam, and sertraline), hypoglycaemic agents (e.g. tolbutamide and gliclazide), immuno-modulating agents (e.g. cyclosporine and tacrolimus), oral contraceptives, proton pump inhibitor (e.g. omeprazole), respiratory system agent (e.g. theophylline), statins (e.g. atorvastatin and pravastatin). Both pharmacokinetic and pharmacodynamic components may play a role in the interactions of drugs with SJW. For pharmacokinetic changes of drugs by SJW, induction of cytochrome P450s (e.g. CYP2C9 and 3A4) and P-glycoprotein (P-gp) are considered the major mechanism. Thus, it is not a surprise that many drugs that interact with SJW are substrates of CYP3A4, CYP2C9 and P-gp. A comprehensive understanding of clinical drugs that interact with SJW has important implications in drug development. New drugs may be designed to minimize interactions with SJW; and new SJW formulations may be designed to avoid drug interactions. Further clinical and

  8. Delamanid Coadministered with Antiretroviral Drugs or Antituberculosis Drugs Shows No Clinically Relevant Drug-Drug Interactions in Healthy Subjects

    PubMed Central

    Wells, Charles; Petersen, Carolyn; Paccaly, Anne; Shoaf, Susan E.; Patil, Shiva; Geiter, Lawrence

    2016-01-01

    Delamanid is a medicinal product approved for treatment of multidrug-resistant tuberculosis. Three studies were conducted to evaluate the potential drug-drug interactions between delamanid and antiretroviral drugs, including ritonavir, a strong inhibitor of CYP3A4, and selected anti-TB drugs, including rifampin, a strong inducer of cytochrome P450 (CYP) isozymes. Multiple-dose studies were conducted in parallel groups of healthy subjects. Plasma samples were analyzed for delamanid, delamanid metabolite, and coadministered drug concentrations, and pharmacokinetic (PK) parameters were determined. The magnitude of the interaction was assessed by the ratio of the geometric means and 90% confidence intervals. Coadministration of delamanid with tenofovir or efavirenz did not affect the PK characteristics of delamanid. Coadministration of Kaletra (lopinavir/ritonavir) with delamanid resulted in an approximately 25% higher delamanid area under the concentration-time curve from time 0 to the end of the dosing interval (AUCτ). Tenofovir, efavirenz, lopinavir, and ritonavir exposure were not affected by delamanid. Coadministration of delamanid with the TB drugs (ethambutol plus Rifater [rifampin, pyrazinamide, and isoniazid]) resulted in lower delamanid exposures (47 and 42% for the AUCτ and Cmax [maximum concentration of a drug in plasma] values, respectively), as well as decreased exposure of three primary metabolites (approximately 30 to 50% lower AUCτ values). Delamanid did not affect rifampin, pyrazinamide, and isoniazid exposure; the ethambutol AUCτ and Cmax values were about 25% higher with delamanid coadministration. The lack of clinically significant drug-drug interactions between delamanid and selected antiretroviral agents (including the strong CYP inhibitor ritonavir) and a combination of anti-TB drugs was demonstrated. Although there was a decrease in the delamanid concentrations when coadministered with ethambutol plus Rifater, this is likely related to

  9. [Clinical relevance of drug interactions between nonsteroidal antiinflammatory drugs (NSAIDs) and antihypertensives].

    PubMed

    Villa, Juan; Cano, Alejandra; Franco, David; Monsalve, Mauricio; Hincapié, Jaime; Amariles, Pedro

    2014-11-01

    To establish the clinical relevance of drug interactions between nonsteroidal antiinflammatory drugs (NSAIDs) and antihypertensives, based on the interaction severity and probability of occurrence. Systematic review. A PubMed/Medline search was made using the MeSH terms: NSAIDs, Antihypertensive drugs, and Drug interactions. Articles between 2002 and 2012, human studies, in Spanish and English and full text access were included. Found articles were included and some of the references used in this works. Studies with in vitro methods, effects on ocular hypertension and those who do not consider the interaction NSAIDs, antihypertensives were excluded. For the selection of the papers included three independent reviewers were involved. We used a tool for data extraction and for assess of the interaction clinical relevance. Nineteen of 50 papers found were included. There were identified 21 interactions with pharmacodynamic mechanism, classified by their clinical relevance in level-2 high risk (76.2%) and level-3 medium risk (23.8%). In addition, evidence of 16 combinations of no interaction were found. Some NSAIDs may attenuate the effectiveness of antihypertensive drugs when used concurrently, especially with angiotensin converting enzyme inhibitors, diuretics, beta blockers and angiotensin receptorsii blockers. There was no evidence of effect modification of calcium channel antagonists, especially dihydropyridine, by concurrent use of NSAIDs. Copyright © 2013 Elsevier España, S.L.U. All rights reserved.

  10. Hypericum perforatum: pharmacokinetic, mechanism of action, tolerability, and clinical drug-drug interactions.

    PubMed

    Russo, Emilio; Scicchitano, Francesca; Whalley, Benjamin J; Mazzitello, Carmela; Ciriaco, Miriam; Esposito, Stefania; Patanè, Marinella; Upton, Roy; Pugliese, Michela; Chimirri, Serafina; Mammì, Maria; Palleria, Caterina; De Sarro, Giovambattista

    2014-05-01

    Hypericum perforatum (HP) belongs to the Hypericaceae family and is one of the oldest used and most extensively investigated medicinal herbs. The medicinal form comprises the leaves and flowering tops of which the primary ingredients of interest are naphthodianthrones, xanthones, flavonoids, phloroglucinols (e.g. hyperforin), and hypericin. Although several constituents elicit pharmacological effects that are consistent with HP's antidepressant activity, no single mechanism of action underlying these effects has thus far been found. Various clinical trials have shown that HP has a comparable antidepressant efficacy as some currently used antidepressant drugs in the treatment of mild/moderate depression. Interestingly, low-hyperforin-content preparations are effective in the treatment of depression. Moreover, HP is also used to treat certain forms of anxiety. However, HP can induce various cytochrome P450s isozymes and/or P-glycoprotein, of which many drugs are substrates and which are the main origin of HP-drug interactions. Here, we analyse the existing evidence describing the clinical consequence of HP-drug interactions. Although some of the reported interactions are based on findings from in vitro studies, the clinical importance of which remain to be demonstrated, others are based on case reports where causality can, in some cases, be determined to reveal clinically significant interactions that suggest caution, consideration, and disclosure of potential interactions prior to informed use of HP.

  11. Consensus Recommendations for Systematic Evaluation of Drug-Drug Interaction Evidence for Clinical Decision Support

    PubMed Central

    Scheife, Richard T.; Hines, Lisa E.; Boyce, Richard D.; Chung, Sophie P.; Momper, Jeremiah; Sommer, Christine D.; Abernethy, Darrell R.; Horn, John; Sklar, Stephen J.; Wong, Samantha K.; Jones, Gretchen; Brown, Mary; Grizzle, Amy J.; Comes, Susan; Wilkins, Tricia Lee; Borst, Clarissa; Wittie, Michael A.; Rich, Alissa; Malone, Daniel C.

    2015-01-01

    Background Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. Objective To provide recommendations for systematic evaluation of evidence from the scientific literature, drug product labeling, and regulatory documents with respect to DDIs for clinical decision support. Methods A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 15 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. Results We developed expert-consensus answers to three key questions: 1) What is the best approach to evaluate DDI evidence?; 2) What evidence is required for a DDI to be applicable to an entire class of drugs?; and 3) How should a structured evaluation process be vetted and validated? Conclusion Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug information systems that implement these recommendations should be able to provide higher quality information about DDIs in drug compendia and clinical decision support tools. PMID:25556085

  12. Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects.

    PubMed

    Zhang, Ping; Wang, Fei; Hu, Jianying; Sorrentino, Robert

    2015-07-21

    Drug-drug interaction (DDI) is an important topic for public health, and thus attracts attention from both academia and industry. Here we hypothesize that clinical side effects (SEs) provide a human phenotypic profile and can be translated into the development of computational models for predicting adverse DDIs. We propose an integrative label propagation framework to predict DDIs by integrating SEs extracted from package inserts of prescription drugs, SEs extracted from FDA Adverse Event Reporting System, and chemical structures from PubChem. Experimental results based on hold-out validation demonstrated the effectiveness of the proposed algorithm. In addition, the new algorithm also ranked drug information sources based on their contributions to the prediction, thus not only confirming that SEs are important features for DDI prediction but also paving the way for building more reliable DDI prediction models by prioritizing multiple data sources. By applying the proposed algorithm to 1,626 small-molecule drugs which have one or more SE profiles, we obtained 145,068 predicted DDIs. The predicted DDIs will help clinicians to avoid hazardous drug interactions in their prescriptions and will aid pharmaceutical companies to design large-scale clinical trial by assessing potentially hazardous drug combinations. All data sets and predicted DDIs are available at http://astro.temple.edu/~tua87106/ddi.html.

  13. Vitamin E-drug interactions: molecular basis and clinical relevance.

    PubMed

    Podszun, Maren; Frank, Jan

    2014-12-01

    Vitamin E (α-, β-, γ- and δ-tocopherol and -tocotrienol) is an essential factor in the human diet and regularly taken as a dietary supplement by many people, who act under the assumption that it may be good for their health and can do no harm. With the publication of meta-analyses reporting increased mortality in persons taking vitamin E supplements, the safety of the micronutrient was questioned and interactions with prescription drugs were suggested as one potentially underlying mechanism. Here, we review the evidence in the scientific literature for adverse vitamin E-drug interactions and discuss the potential of each of the eight vitamin E congeners to alter the activity of drugs. In summary, there is no evidence from animal models or randomised controlled human trials to suggest that the intake of tocopherols and tocotrienols at nutritionally relevant doses may cause adverse nutrient-drug interactions. Consumption of high-dose vitamin E supplements ( ≥  300 mg/d), however, may lead to interactions with the drugs aspirin, warfarin, tamoxifen and cyclosporine A that may alter their activities. For the majority of drugs, however, interactions with vitamin E, even at high doses, have not been observed and are thus unlikely.

  14. Pharmacokinetic drug-drug interaction and their implication in clinical management

    PubMed Central

    Palleria, Caterina; Di Paolo, Antonello; Giofrè, Chiara; Caglioti, Chiara; Leuzzi, Giacomo; Siniscalchi, Antonio; De Sarro, Giovambattista; Gallelli, Luca

    2013-01-01

    Drug-drug interactions (DDIs) are one of the commonest causes of medication error in developed countries, particularly in the elderly due to poly-therapy, with a prevalence of 20-40%. In particular, poly-therapy increases the complexity of therapeutic management and thereby the risk of clinically important DDIs, which can both induce the development of adverse drug reactions or reduce the clinical efficacy. DDIs can be classify into two main groups: pharmacokinetic and pharmacodynamic. In this review, using Medline, PubMed, Embase, Cochrane library and Reference lists we searched articles published until June 30 2012, and we described the mechanism of pharmacokinetic DDIs focusing the interest on their clinical implications. PMID:24516494

  15. Relationship between drug interactions and drug-related negative clinical outcomes

    PubMed Central

    Cremades, Javier; Gonzalo, Mario; Arrebola, Isabel

    2008-01-01

    Drug interactions may represent an iatrogenic risk that should be controlled in community pharmacies at the dispensing level. Aim We analyzed the association between potential drug-drug interactions (DDIs) and negative clinical outcomes. Methods We used dispensing data from two community pharmacies: instances where drug dispensing was associated with a potential DDI and a comparison group of randomized dispensing operations with no potential DDI. In cases where potential DDIs were detected, we analyzed the underlying negative clinical outcomes. Age and gender data were included in the analysis. Results During the study period, we registered 417 potential DDIs. The proportion of women and age were higher in the study group than in the comparison group. The average potential DDIs per patient was 1.31 (SD=0.72). The Consejo General de Colegios Oficiales de Farmacéuticos (CGCOF) database did not produce an alert in 2.4% of the cases. Over-the-counter medication use was observed in 5% of the potential DDI cases. The drugs most frequently involved in potential DDIs were acenocoumarol, calcium salts, hydrochlorothiazide, and alendronic acid, whereas the most predominant potential DDIs were calcium salts and bisphosphonates, oral antidiabetics and thiazide diuretics, antidiabetics and glucose, and oral anticoagulant and paracetamol. The existence of a drug-related negative clinical outcome was observed only in 0.96% of the potential DDI cases (50% safety cases and 50% effectiveness cases). Conclusions Only a small proportion of the detected potential DDIs lead to medication negative outcomes. Considering the drug-related negative clinical outcomes encountered, tighter control would be recommended in potential DDIs with NSAIDs or benzodiazepines. PMID:25147590

  16. Mining clinical text for signals of adverse drug-drug interactions

    PubMed Central

    Iyer, Srinivasan V; Harpaz, Rave; LePendu, Paea; Bauer-Mehren, Anna; Shah, Nigam H

    2014-01-01

    Background and objective Electronic health records (EHRs) are increasingly being used to complement the FDA Adverse Event Reporting System (FAERS) and to enable active pharmacovigilance. Over 30% of all adverse drug reactions are caused by drug–drug interactions (DDIs) and result in significant morbidity every year, making their early identification vital. We present an approach for identifying DDI signals directly from the textual portion of EHRs. Methods We recognize mentions of drug and event concepts from over 50 million clinical notes from two sites to create a timeline of concept mentions for each patient. We then use adjusted disproportionality ratios to identify significant drug–drug–event associations among 1165 drugs and 14 adverse events. To validate our results, we evaluate our performance on a gold standard of 1698 DDIs curated from existing knowledge bases, as well as with signaling DDI associations directly from FAERS using established methods. Results Our method achieves good performance, as measured by our gold standard (area under the receiver operator characteristic (ROC) curve >80%), on two independent EHR datasets and the performance is comparable to that of signaling DDIs from FAERS. We demonstrate the utility of our method for early detection of DDIs and for identifying alternatives for risky drug combinations. Finally, we publish a first of its kind database of population event rates among patients on drug combinations based on an EHR corpus. Conclusions It is feasible to identify DDI signals and estimate the rate of adverse events among patients on drug combinations, directly from clinical text; this could have utility in prioritizing drug interaction surveillance as well as in clinical decision support. PMID:24158091

  17. Contrast media: interactions with other drugs and clinical tests.

    PubMed

    Morcos, Sameh K; Thomsen, Henrik S; Exley, C M

    2005-07-01

    Many patients with multiple medical problems who are receiving a variety of drugs are investigated with imaging techniques which require intravascular contrast media. The Contrast Media Safety Committee of the European Society of Urogenital Radiology therefore decided to review the literature and to draw up simple guidelines on interactions between contrast media and other drugs. An extensive literature search was carried out and summarized in a report. Based on the available information, simple guidelines have been drawn up. The report and guidelines were discussed at the 11th European Symposium on Urogenital Radiology in Santiago de Compostela. Contrast media may interact with other drugs, and may interfere with isotope studies and biochemical measurements. Awareness of the patient drug history is important to avoid potential hazards. Simple guidelines are presented.

  18. Breast cancer resistance protein (ABCG2) in clinical pharmacokinetics and drug interactions: practical recommendations for clinical victim and perpetrator drug-drug interaction study design.

    PubMed

    Lee, Caroline A; O'Connor, Meeghan A; Ritchie, Tasha K; Galetin, Aleksandra; Cook, Jack A; Ragueneau-Majlessi, Isabelle; Ellens, Harma; Feng, Bo; Taub, Mitchell E; Paine, Mary F; Polli, Joseph W; Ware, Joseph A; Zamek-Gliszczynski, Maciej J

    2015-04-01

    Breast cancer resistance protein (BCRP; ABCG2) limits intestinal absorption of low-permeability substrate drugs and mediates biliary excretion of drugs and metabolites. Based on clinical evidence of BCRP-mediated drug-drug interactions (DDIs) and the c.421C>A functional polymorphism affecting drug efficacy and safety, both the US Food and Drug Administration and European Medicines Agency recommend preclinical evaluation and, when appropriate, clinical assessment of BCRP-mediated DDIs. Although many BCRP substrates and inhibitors have been identified in vitro, clinical translation has been confounded by overlap with other transporters and metabolic enzymes. Regulatory recommendations for BCRP-mediated clinical DDI studies are challenging, as consensus is lacking on the choice of the most robust and specific human BCRP substrates and inhibitors and optimal study design. This review proposes a path forward based on a comprehensive analysis of available data. Oral sulfasalazine (1000 mg, immediate-release tablet) is the best available clinical substrate for intestinal BCRP, oral rosuvastatin (20 mg) for both intestinal and hepatic BCRP, and intravenous rosuvastatin (4 mg) for hepatic BCRP. Oral curcumin (2000 mg) and lapatinib (250 mg) are the best available clinical BCRP inhibitors. To interrogate the worst-case clinical BCRP DDI scenario, study subjects harboring the BCRP c.421C/C reference genotype are recommended. In addition, if sulfasalazine is selected as the substrate, subjects having the rapid acetylator phenotype are recommended. In the case of rosuvastatin, subjects with the organic anion-transporting polypeptide 1B1 c.521T/T genotype are recommended, together with monitoring of rosuvastatin's cholesterol-lowering effect at baseline and DDI phase. A proof-of-concept clinical study is being planned by a collaborative consortium to evaluate the proposed BCRP DDI study design.

  19. Consensus recommendations for systematic evaluation of drug-drug interaction evidence for clinical decision support.

    PubMed

    Scheife, Richard T; Hines, Lisa E; Boyce, Richard D; Chung, Sophie P; Momper, Jeremiah D; Sommer, Christine D; Abernethy, Darrell R; Horn, John R; Sklar, Stephen J; Wong, Samantha K; Jones, Gretchen; Brown, Mary L; Grizzle, Amy J; Comes, Susan; Wilkins, Tricia Lee; Borst, Clarissa; Wittie, Michael A; Malone, Daniel C

    2015-02-01

    Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. The aim of this study was to provide recommendations for systematic evaluation of evidence for DDIs from the scientific literature, drug product labeling, and regulatory documents. A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 18 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar 12 times from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. We developed expert consensus answers to the following three key questions. (i) What is the best approach to evaluate DDI evidence? (ii) What evidence is required for a DDI to be applicable to an entire class of drugs? (iii) How should a structured evaluation process be vetted and validated? Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug compendia and clinical decision support systems in which these recommendations are implemented should be able to provide higher-quality information about DDIs.

  20. Validation of a microdose probe drug cocktail for clinical drug interaction assessments for drug transporters and CYP3A.

    PubMed

    Prueksaritanont, T; Tatosian, D A; Chu, X; Railkar, R; Evers, R; Chavez-Eng, C; Lutz, R; Zeng, W; Yabut, J; Chan, G H; Cai, X; Latham, A H; Hehman, J; Stypinski, D; Brejda, J; Zhou, C; Thornton, B; Bateman, K P; Fraser, I; Stoch, S A

    2017-04-01

    A microdose cocktail containing midazolam, dabigatran etexilate, pitavastatin, rosuvastatin, and atorvastatin has been established to allow simultaneous assessment of a perpetrator impact on the most common drug metabolizing enzyme, cytochrome P450 (CYP)3A, and the major transporters organic anion-transporting polypeptides (OATP)1B, breast cancer resistance protein (BCRP), and MDR1 P-glycoprotein (P-gp). The clinical utility of these microdose cocktail probe substrates was qualified by conducting clinical drug interaction studies with three inhibitors with different in vitro inhibitory profiles (rifampin, itraconazole, and clarithromycin). Generally, the pharmacokinetic profiles of the probe substrates, in the absence and presence of the inhibitors, were comparable to their reported corresponding pharmacological doses, and/or in agreement with theoretical expectations. The exception was dabigatran, which resulted in an approximately twofold higher magnitude for microdose compared to conventional dosing, and, thus, can be used to flag a worst-case scenario for P-gp. Broader application of the microdose cocktail will facilitate a more comprehensive understanding of the roles of drug transporters in drug disposition and drug interactions. © 2016 American Society for Clinical Pharmacology and Therapeutics.

  1. Clinical assessment of drug-drug interactions of tasimelteon, a novel dual melatonin receptor agonist.

    PubMed

    Ogilvie, Brian W; Torres, Rosarelis; Dressman, Marlene A; Kramer, William G; Baroldi, Paolo

    2015-09-01

    Tasimelteon ([1R-trans]-N-[(2-[2,3-dihydro-4-benzofuranyl] cyclopropyl) methyl] propanamide), a novel dual melatonin receptor agonist that demonstrates specificity and high affinity for melatonin receptor types 1 and 2 (MT1 and MT2 receptors), is the first treatment approved by the US Food and Drug Administration for Non-24-Hour Sleep-Wake Disorder. Tasimelteon is rapidly absorbed, with a mean absolute bioavailability of approximately 38%, and is extensively metabolized primarily by oxidation at multiple sites, mainly by cytochrome P450 (CYP) 1A2 and CYP3A4/5, as initially demonstrated by in vitro studies and confirmed by the results of clinical drug-drug interactions presented here. The effects of strong inhibitors and moderate or strong inducers of CYP1A2 and CYP3A4/5 on the pharmacokinetics of tasimelteon were evaluated in humans. Coadministration with fluvoxamine resulted in an approximately 6.5-fold increase in tasimelteon's area under the curve (AUC), whereas cigarette smoking decreased tasimelteon's exposure by approximately 40%. Coadministration with ketoconazole resulted in an approximately 54% increase in tasimelteon's AUC, whereas rifampin pretreatment resulted in a decrease in tasimelteon's exposure of approximately 89%. © 2015 The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals, Inc. on behalf of American College of Clinical Pharmacology.

  2. Recommendations for Selecting Drug-Drug Interactions for Clinical Decision Support

    PubMed Central

    Tilson, Hugh; Hines, Lisa E.; McEvoy, Gerald; Weinstein, David M.; Hansten, Philip D.; Matuszewski, Karl; le Comte, Marianne; Higby-Baker, Stefanie; Hanlon, Joseph T.; Pezzullo, Lynn; Vieson, Kathleen; Helwig, Amy L.; Huang, Shiew-Mei; Perre, Anthony; Bates, David W.; Poikonen, John; Wittie, Michael A.; Grizzle, Amy J.; Brown, Mary; Malone, Daniel C.

    2016-01-01

    Purpose To recommend principles for including drug-drug interactions (DDIs) in clinical decision support. Methods A conference series was conducted to improve clinical decision support (CDS) for DDIs. The Content Workgroup met monthly by webinar from January 2013 to February 2014, with two in-person meetings to reach consensus. The workgroup consisted of 20 experts in pharmacology, drug information, and CDS from academia, government agencies, health information (IT) vendors, and healthcare organizations. Workgroup members addressed four key questions: (1) What process should be used to develop and maintain a standard set of DDIs?; (2) What information should be included in a knowledgebase of standard DDIs?; (3) Can/should a list of contraindicated drug pairs be established?; and (4) How can DDI alerts be more intelligently filtered? Results To develop and maintain a standard set of DDIs for CDS in the United States, we recommend a transparent, systematic, and evidence-driven process with graded recommendations by a consensus panel of experts and oversight by a national organization. We outline key DDI information needed to help guide clinician decision-making. We recommend judicious classification of DDIs as contraindicated, as only a small set of drug combinations are truly contraindicated. Finally, we recommend more research to identify methods to safely reduce repetitive and less relevant alerts. Conclusion A systematic ongoing process is necessary to select DDIs for alerting clinicians. We anticipate that our recommendations can lead to consistent and clinically relevant content for interruptive DDIs, and thus reduce alert fatigue and improve patient safety. PMID:27045070

  3. Clinical perspective on drug-drug interactions with the non-nucleoside reverse transcriptase inhibitor rilpivirine.

    PubMed

    Crauwels, Herta; van Heeswijk, Rolf P G; Stevens, Marita; Buelens, Annemie; Vanveggel, Simon; Boven, Katia; Hoetelmans, Richard

    2013-01-01

    Rilpivirine (TMC278) is a non-nucleoside reverse transcriptase inhibitor approved in combination with other antiretrovirals for the treatment of HIV-1 infection in treatment-naive adults (Edurant(®) 25 mg once daily; Complera(®) [USA]/Eviplera(®) [EU] once daily single-tablet regimen). Rilpivirine should be administered with a meal to optimize bioavailability. Its solubility is pH dependent. Rilpivirine is primarily excreted via the feces with negligible renal elimination. Rilpivirine is predominantly metabolized by cytochrome P450 3A4. There is no clinically relevant effect of age, gender, bodyweight, race, estimated glomerular filtration rate, or hepatitis B/C coinfection status on rilpivirine pharmacokinetics in adults. Drug-drug interactions were investigated with cytochrome P450 3A substrates, inducers and inhibitors, drugs altering intragastric pH, antiretrovirals, and other often coadministered drugs. Rilpivirine 25 mg once daily does not have a clinically relevant effect on exposure of coadministered drugs. Coadministration with cytochrome P450 3A inhibitors (ketoconazole, ritonavir-boosted protease inhibitors, telaprevir) results in increased rilpivirine plasma concentrations, but these are not considered clinically relevant; no dose adjustments are required. Coadministration of rilpivirine with cytochrome P450 3A inducers (e.g. rifampin, rifabutin) or compounds increasing gastric pH (e.g. omeprazole, famotidine) results in decreased rilpivirine plasma concentrations, which may increase the risk of virologic failure and resistance development. Therefore, strong cytochrome P450 3A inducers and proton-pump inhibitors are contraindicated. Histamine-2 receptor antagonists and antacids can be coadministered with rilpivirine, provided doses are temporally separated. No dose adjustments are required when rilpivirine is coadministered with: acetaminophen, phosphodiesterase type 5 inhibitors (sildenafil, etc.), atorvastatin (and other statins), oral

  4. St John's wort (Hypericum perforatum): drug interactions and clinical outcomes

    PubMed Central

    Henderson, L; Yue, Q Y; Bergquist, C; Gerden, B; Arlett, P

    2002-01-01

    Aims The aim of this work is to identify the medicines which interact with the herbal remedy St John's wort (SJW), and the mechanisms responsible. Methods A systematic review of all the available evidence, including worldwide published literature and spontaneous case reports provided by healthcare professionals and regulatory authorities within Europe has been undertaken. Results A number of clinically significant interactions have been identified with prescribed medicines including warfarin, phenprocoumon, cyclosporin, HIV protease inhibitors, theophylline, digoxin and oral contraceptives resulting in a decrease in concentration or effect of the medicines. These interactions are probably due to the induction of cytochrome P450 isoenzymes CYP3A4, CYP2C9, CYP1A2 and the transport protein P-glycoprotein by constituent(s) in SJW. The degree of induction is unpredictable due to factors such as the variable quality and quantity of constituent(s) in SJW preparations. In addition, possible pharmacodynamic interactions with selective serotonin re-uptake inhibitors and serotonin (5-HT1d) receptor-agonists such as triptans used to treat migraine were identified. These interactions are associated with an increased risk of adverse reactions. Conclusions In Sweden and the UK the potential risks to patients were judged to be significant and therefore information about the interactions was provided to health care professionals and patients. The product information of the licensed medicines involved has been amended to reflect these newly identified interactions and SJW preparations have been voluntarily labelled with appropriate warnings. PMID:12392581

  5. Prevalence of Potential and Clinically Relevant Statin-Drug Interactions in Frail and Robust Older Inpatients.

    PubMed

    Thai, Michele; Hilmer, Sarah; Pearson, Sallie-Anne; Reeve, Emily; Gnjidic, Danijela

    2015-10-01

    A significant proportion of older people are prescribed statins and are also exposed to polypharmacy, placing them at increased risk of statin-drug interactions. To describe the prevalence rates of potential and clinically relevant statin-drug interactions in older inpatients according to frailty status. A cross-sectional study of patients aged ≥65 years who were prescribed a statin and were admitted to a teaching hospital between 30 July and 10 October 2014 in Sydney, Australia, was conducted. Data on socio-demographics, comorbidities and medications were collected using a standardized questionnaire. Potential statin-drug interactions were defined if listed in the Australian Medicines Handbook and three international drug information sources: the British National Formulary, Drug Interaction Facts and Drug-Reax(®). Clinically relevant statin-drug interactions were defined as interactions with the highest severity rating in at least two of the three international drug information sources. Frailty was assessed using the Reported Edmonton Frail Scale. A total of 180 participants were recruited (median age 78 years, interquartile range 14), 35.0% frail and 65.0% robust. Potential statin-drug interactions were identified in 10% of participants, 12.7% of frail participants and 8.5% of robust participants. Clinically relevant statin-drug interactions were identified in 7.8% of participants, 9.5% of frail participants and 6.8% of robust participants. Depending on the drug information source used, the prevalence rates of potential and clinically relevant statin-drug interactions ranged between 14.4 and 35.6% and between 14.4 and 20.6%, respectively. In our study of frail and robust older inpatients taking statins, the overall prevalence of potential statin-drug interactions was low and varied significantly according to the drug information source used.

  6. Predicting clinical relevance of grapefruit-drug interactions: a complicated process.

    PubMed

    Bailey, D G

    2017-04-01

    Grapefruit juice interacts with a number of drugs. This commentary provides feedback on a previously proposed approach for predicting clinically relevant interactions with grapefruit juice based on the average inherent oral bioavailability (F) and magnitude of increase in bioavailability with other CYP3A inhibitors of the drug. Additional factors such as variability of the magnitude of the pharmacokinetic interaction among individuals, product monograph cautionary statements and vulnerability of the patient population should be considered. A flow diagram is provided that should improve prediction of the pharmacokinetic interaction and clinical relevance for affected drugs and that recommends different courses of action for patient management. Forecasting the clinical importance of a particular drug interaction with grapefruit can be improved through consideration of additional readily available drug regulatory information. © 2016 John Wiley & Sons Ltd.

  7. Clinically significant drug-drug interactions involving opioid analgesics used for pain treatment in patients with cancer: a systematic review.

    PubMed

    Kotlinska-Lemieszek, Aleksandra; Klepstad, Pål; Haugen, Dagny Faksvåg

    2015-01-01

    Opioids are the most frequently used drugs to treat pain in cancer patients. In some patients, however, opioids can cause adverse effects and drug-drug interactions. No advice concerning the combination of opioids and other drugs is given in the current European guidelines. To identify studies that report clinically significant drug-drug interactions involving opioids used for pain treatment in adult cancer patients. Systematic review with searches in Embase, MEDLINE, and Cochrane Central Register of Controlled Trials from the start of the databases (Embase from 1980) through January 2014. In addition, reference lists of relevant full-text papers were hand-searched. Of 901 retrieved papers, 112 were considered as potentially eligible. After full-text reading, 17 were included in the final analysis, together with 15 papers identified through hand-searching of reference lists. All of the 32 included publications were case reports or case series. Clinical manifestations of drug-drug interactions involving opioids were grouped as follows: 1) sedation and respiratory depression, 2) other central nervous system symptoms, 3) impairment of pain control and/or opioid withdrawal, and 4) other symptoms. The most common mechanisms eliciting drug-drug interactions were alteration of opioid metabolism by inhibiting the activity of cytochrome P450 3A4 and pharmacodynamic interactions due to the combined effect on opioid, dopaminergic, cholinergic, and serotonergic activity in the central nervous system. Evidence for drug-drug interactions associated with opioids used for pain treatment in cancer patients is very limited. Still, the cases identified in this systematic review give some important suggestions for clinical practice. Physicians prescribing opioids should recognize the risk of drug-drug interactions and if possible avoid polypharmacy.

  8. An update on clinical drug interactions with the herbal antidepressant St. John's wort.

    PubMed

    Zhou, Shu-Feng; Lai, Xinsheng

    2008-06-01

    St. John's wort (Hypericum perforatum, SJW) is one of the most commonly used herbal antidepressants for the treatment of minor to moderate depression. Limited clinical trials suggest that hypericum and standard antidepressants have similar beneficial effects, but current evidence regarding the antidepression effects of SJW extracts is inconsistent. A major safety concern about SJW is its ability to alter the pharmacokinetics and/or clinical response of a variety of clinically important drugs. This review highlights and updates the knowledge regarding drug interactions with SJW by a systematic review of all the available evidence, including worldwide published literature and spontaneous case reports. A number of clinically significant interactions of SJW have been identified with conventional drugs. These interactions often result in a decrease in the concentration or effect of the combined drug, most probably due to the induction of cytochrome P450s (CYPs) and the key drug transporter P-glycoprotein (P-gp) by the major active constituents in SJW. SJW is a potent inducer of human CYP3A4 and P-gp in vitro and in vivo. In addition, pharmacodynamic interactions of SJW with some drugs (e.g. selective serotonin re-uptake inhibitors) have been identified, which are associated with an increased risk of adverse reactions. Since potential interactions of SJW with conventional drugs is a major safety concern, it is important to minimize and avoid these interactions by taking appropriate approaches. These include systematic research to identify SJW-drug interaction; close therapeutic drug monitoring when SJW is combined with conventional drugs with a narrow therapeutic window; proper dose and regimen adjustment; patient education and communication between the patient and physician; design of new preparations of SJW without inducing ability of CYP3A4 and P-gp while retaining its bioactivity; and appropriate regulation in herbal safety and efficacy. Further clinical and

  9. Sorivudine and 5-fluorouracil; a clinically significant drug-drug interaction due to inhibition of dihydropyrimidine dehydrogenase

    PubMed Central

    Diasio, Robert B

    1998-01-01

    Sorivudine (1-β-d-arabinofuranosyl-E-5-[2-bromovinyl] uracil; BV-araU; SQ32,756) is an antimetabolite which is a synthetic analogue of thymidine. This drug has demonstrated antiviral activity against varicella zoster virus, herpes simplex type 1 virus, and Epstein-Barr virus. Clinical studies in Japan and subsequently worldwide showed this drug to be a potent agent for treating varicella zoster infections. Although in general well tolerated, a fatal drug interaction with fluoropyrimidine drugs was subsequently observed. While three deaths resulting from this interaction were recognized to have occurred during the initial clinical evaluation in Japan, the full impact of the interaction was not recognized in Japan until post-marketing when an additional 23 cases of severe toxicity were reported including 16 patients who subsequently died from fluoro-pyrimidine toxicity. Worldwide recognition of this potentially fatal drug-drug interaction led to subsequent disapproval in the US and elsewhere. The interaction has been shown to be due to suppression of 5-fluorouracil (5-FU) catabolism, resulting in higher levels of 5-FU than would normally be observed. The mechanism of this interaction is mediated through inhibition of the 5-FU rate-limiting catabolizing enzyme dihydropyrimidine dehydrogenase (DPD) by the BV-araU metabolite BVU. This drug-drug interaction of sorivudine and 5-FU further emphasizes the critical importance of DPD on the clinical pharmacology of 5-FU. PMID:9690942

  10. Recommendations to improve the usability of drug-drug interaction clinical decision support alerts.

    PubMed

    Payne, Thomas H; Hines, Lisa E; Chan, Raymond C; Hartman, Seth; Kapusnik-Uner, Joan; Russ, Alissa L; Chaffee, Bruce W; Hartman, Christian; Tamis, Victoria; Galbreth, Brian; Glassman, Peter A; Phansalkar, Shobha; van der Sijs, Heleen; Gephart, Sheila M; Mann, Gordon; Strasberg, Howard R; Grizzle, Amy J; Brown, Mary; Kuperman, Gilad J; Steiner, Chris; Sullins, Amanda; Ryan, Hugh; Wittie, Michael A; Malone, Daniel C

    2015-11-01

    To establish preferred strategies for presenting drug-drug interaction (DDI) clinical decision support alerts. A DDI Clinical Decision Support Conference Series included a workgroup consisting of 24 clinical, usability, and informatics experts representing academia, health information technology (IT) vendors, healthcare organizations, and the Office of the National Coordinator for Health IT. Workgroup members met via web-based meetings 12 times from January 2013 to February 2014, and two in-person meetings to reach consensus on recommendations to improve decision support for DDIs. We addressed three key questions: (1) what, how, where, and when do we display DDI decision support? (2) should presentation of DDI decision support vary by clinicians? and (3) how should effectiveness of DDI decision support be measured? Our recommendations include the consistent use of terminology, visual cues, minimal text, formatting, content, and reporting standards to facilitate usability. All clinicians involved in the medication use process should be able to view DDI alerts and actions by other clinicians. Override rates are common but may not be a good measure of effectiveness. Seven core elements should be included with DDI decision support. DDI information should be presented to all clinicians. Finally, in their current form, override rates have limited capability to evaluate alert effectiveness. DDI clinical decision support alerts need major improvements. We provide recommendations for healthcare organizations and IT vendors to improve the clinician interface of DDI alerts, with the aim of reducing alert fatigue and improving patient safety. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  11. The role of clinical decision support in pharmacist response to drug-interaction alerts.

    PubMed

    Miller, Luke; Steinmetz Pater, Karen; Corman, Shelby

    2015-01-01

    With over 100,000 different types of drug-drug interactions health care professionals rely heavily on automated drug-interaction alerts. Substantial variance in drug-interaction alerts yields opportunities for the use of clinical decision support (CDS) as a potential benefit to pharmacists. The purpose of this research was to determine whether decision support during dispensing impacts pharmacist response to drug-interaction alerts. A brief survey was administered to pharmacists in the community consisting of three patient cases, each containing three drug-drug interactions of varying severity. For each interaction, pharmacists were asked how they would respond, one group of pharmacists was randomly assigned to receive CDS while the other group did not. There were no significant differences in pharmacist response to alerts between the two groups. The control group did appear to be more likely to consult a drug reference, but this difference was not significant. While this study did not demonstrate a significant difference, drug-interaction alerts are still an area where improvements could be made. Advancements have the potential to reduce risk to patients and limit unnecessary hospital admissions. This study suggests that this level of clinical decision support has limited impact, but may prove beneficial by reducing the need to consult additional references. Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Potentially significant versus clinically significant drug interactions: pomegranate juice as a case in point.

    PubMed

    Andrade, Chittaranjan

    2014-04-01

    In vitro and in vivo laboratory data show that pomegranate juice consistently inhibits intestinal CYP2C9 and CYP3A4 enzymes. Pomegranate juice may therefore increase the bioavailability of drugs that are metabolized by these enzymes. However, studies in humans find that pomegranate juice does not increase exposure to either CYP2C9 or CYP3A4 substrates. These contradictory findings suggest that potential drug interactions identified in the laboratory may not necessarily translate into clinically significant drug interactions in humans, and hence that laboratory data are insufficient grounds upon which clinical decisions may be based.

  13. Transporter-Mediated Disposition of Opioids: Implications for Clinical Drug Interactions.

    PubMed

    Gharavi, Robert; Hedrich, William; Wang, Hongbing; Hassan, Hazem E

    2015-08-01

    Opioid-related deaths, abuse, and drug interactions are growing epidemic problems that have medical, social, and economic implications. Drug transporters play a major role in the disposition of many drugs, including opioids; hence they can modulate their pharmacokinetics, pharmacodynamics and their associated drug-drug interactions (DDIs). Our understanding of the interaction of transporters with many therapeutic agents is improving; however, investigating such interactions with opioids is progressing relatively slowly despite the alarming number of opioids-mediated DDIs that may be related to transporters. This review presents a comprehensive report of the current literature relating to opioids and their drug transporter interactions. Additionally, it highlights the emergence of transporters that are yet to be fully identified but may play prominent roles in the disposition of opioids, the growing interest in transporter genomics for opioids, and the potential implications of opioid-drug transporter interactions for cancer treatments. A better understanding of drug transporters interactions with opioids will provide greater insight into potential clinical DDIs and could help improve opioids safety and efficacy.

  14. Food-drug interactions.

    PubMed

    Schmidt, Lars E; Dalhoff, Kim

    2002-01-01

    Interactions between food and drugs may inadvertently reduce or increase the drug effect. The majority of clinically relevant food-drug interactions are caused by food-induced changes in the bioavailability of the drug. Since the bioavailability and clinical effect of most drugs are correlated, the bioavailability is an important pharmacokinetic effect parameter. However, in order to evaluate the clinical relevance of a food-drug interaction, the impact of food intake on the clinical effect of the drug has to be quantified as well. As a result of quality review in healthcare systems, healthcare providers are increasingly required to develop methods for identifying and preventing adverse food-drug interactions. In this review of original literature, we have tried to provide both pharmacokinetic and clinical effect parameters of clinically relevant food-drug interactions. The most important interactions are those associated with a high risk of treatment failure arising from a significantly reduced bioavailability in the fed state. Such interactions are frequently caused by chelation with components in food (as occurs with alendronic acid, clodronic acid, didanosine, etidronic acid, penicillamine and tetracycline) or dairy products (ciprofloxacin and norfloxacin), or by other direct interactions between the drug and certain food components (avitriptan, indinavir, itraconazole solution, levodopa, melphalan, mercaptopurine and perindopril). In addition, the physiological response to food intake, in particular gastric acid secretion, may reduce the bioavailability of certain drugs (ampicillin, azithromycin capsules, didanosine, erythromycin stearate or enteric coated, and isoniazid). For other drugs, concomitant food intake may result in an increase in drug bioavailability either because of a food-induced increase in drug solubility (albendazole, atovaquone, griseofulvin, isotretinoin, lovastatin, mefloquine, saquinavir and tacrolimus) or because of the secretion of

  15. [Prevalence and clinical significance of interactions drug-enteral nutrition in Intensive Care Units].

    PubMed

    Reis, Adriano Max Moreira; de Carvalho, Rhanna Emanuela Fontenele Lima; de Faria, Leila Marcia Pereira; de Oliveira, Regina Célia; Zago, Karine Santana de Azevedo; Cavelagna, Milena Ferreira; Silva, Adriano Gomes; Neto, Manoel Luis; Cassiani, Silvia Helena de Bortoli

    2014-01-01

    This is a multicenter, cross-sectional retrospective study, which aimed to determine the prevalence of interactions drug-enteral nutrition (EN) in Intensive Care Units (ICU) of seven teaching hospitals in Brazil, and to analyze the clinical significance of them. Information on medications and EN administered with 24 hours and 120 hours of hospitalization were collected. For identification of drug-EN interaction was employed software Drug Reax®. It was investigated 1.124 records. Of these, 320 patients, with 24 hours of hospitalization, were on EN, and 20 (6.3%) had drug-EN interaction. Of the 504 patients with 120 hours of hospitalization, 39 (7.7%) had drug-EN interaction. The most frequent drug-EN interactions of clinical significance were phenytoin-EN, warfarin-EN and levothyroxine-EN. Drug-EN interactions may interfere with the quality and cost effectiveness of care in ICU, so it is essential that the health team has knowledge about them.

  16. ITC commentary on the prediction of digoxin clinical drug-drug interactions from in vitro transporter assays.

    PubMed

    Lee, C A; Kalvass, J C; Galetin, A; Zamek-Gliszczynski, M J

    2014-09-01

    The "P-glycoprotein" IC50 working group reported an 18- to 796-fold interlaboratory range in digoxin transport IC50 (inhibitor concentration achieving 50% of maximal inhibition), raising concerns about the predictability of clinical transporter-based drug-drug interactions (DDIs) from in vitro data. This Commentary describes complexities of digoxin transport, which involve both uptake and efflux processes. We caution against attributing digoxin transport IC50 specifically to P-glycoprotein (P-gp) or extending this composite uptake/efflux IC50 variability to individual transporters. Clinical digoxin interaction studies should be interpreted as evaluation of digoxin safety, not P-gp DDIs.

  17. Food-drug interactions.

    PubMed

    Bushra, Rabia; Aslam, Nousheen; Khan, Arshad Yar

    2011-03-01

    The effect of drug on a person may be different than expected because that drug interacts with another drug the person is taking (drug-drug interaction), food, beverages, dietary supplements the person is consuming (drug-nutrient/food interaction) or another disease the person has (drug-disease interaction). A drug interaction is a situation in which a substance affects the activity of a drug, i.e. the effects are increased or decreased, or they produce a new effect that neither produces on its own. These interactions may occur out of accidental misuse or due to lack of knowledge about the active ingredients involved in the relevant substances. Regarding food-drug interactions physicians and pharmacists recognize that some foods and drugs, when taken simultaneously, can alter the body's ability to utilize a particular food or drug, or cause serious side effects. Clinically significant drug interactions, which pose potential harm to the patient, may result from changes in pharmaceutical, pharmacokinetic, or pharmacodynamic properties. Some may be taken advantage of, to the benefit of patients, but more commonly drug interactions result in adverse drug events. Therefore it is advisable for patients to follow the physician and doctors instructions to obtain maximum benefits with least food-drug interactions. The literature survey was conducted by extracting data from different review and original articles on general or specific drug interactions with food. This review gives information about various interactions between different foods and drugs and will help physicians and pharmacists prescribe drugs cautiously with only suitable food supplement to get maximum benefit for the patient.

  18. DGIdb 2.0: mining clinically relevant drug-gene interactions.

    PubMed

    Wagner, Alex H; Coffman, Adam C; Ainscough, Benjamin J; Spies, Nicholas C; Skidmore, Zachary L; Campbell, Katie M; Krysiak, Kilannin; Pan, Deng; McMichael, Joshua F; Eldred, James M; Walker, Jason R; Wilson, Richard K; Mardis, Elaine R; Griffith, Malachi; Griffith, Obi L

    2016-01-04

    The Drug-Gene Interaction Database (DGIdb, www.dgidb.org) is a web resource that consolidates disparate data sources describing drug-gene interactions and gene druggability. It provides an intuitive graphical user interface and a documented application programming interface (API) for querying these data. DGIdb was assembled through an extensive manual curation effort, reflecting the combined information of twenty-seven sources. For DGIdb 2.0, substantial updates have been made to increase content and improve its usefulness as a resource for mining clinically actionable drug targets. Specifically, nine new sources of drug-gene interactions have been added, including seven resources specifically focused on interactions linked to clinical trials. These additions have more than doubled the overall count of drug-gene interactions. The total number of druggable gene claims has also increased by 30%. Importantly, a majority of the unrestricted, publicly-accessible sources used in DGIdb are now automatically updated on a weekly basis, providing the most current information for these sources. Finally, a new web view and API have been developed to allow searching for interactions by drug identifiers to complement existing gene-based search functionality. With these updates, DGIdb represents a comprehensive and user friendly tool for mining the druggable genome for precision medicine hypothesis generation. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

  19. Pre-Clinical Drug Prioritization via Prognosis-Guided Genetic Interaction Networks

    PubMed Central

    Xiong, Jianghui; Liu, Juan; Rayner, Simon; Tian, Ze; Li, Yinghui; Chen, Shanguang

    2010-01-01

    The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Patient population heterogeneity and unpredictable physiology complicate pre-clinical cancer modeling efforts. We hypothesize that gene networks associated with cancer outcome in heterogeneous patient populations could serve as a reference for identifying drug effects. Here we propose a novel in vivo genetic interaction which we call ‘synergistic outcome determination’ (SOD), a concept similar to ‘Synthetic Lethality’. SOD is defined as the synergy of a gene pair with respect to cancer patients' outcome, whose correlation with outcome is due to cooperative, rather than independent, contributions of genes. The method combines microarray gene expression data with cancer prognostic information to identify synergistic gene-gene interactions that are then used to construct interaction networks based on gene modules (a group of genes which share similar function). In this way, we identified a cluster of important epigenetically regulated gene modules. By projecting drug sensitivity-associated genes on to the cancer-specific inter-module network, we defined a perturbation index for each drug based upon its characteristic perturbation pattern on the inter-module network. Finally, by calculating this index for compounds in the NCI Standard Agent Database, we significantly discriminated successful drugs from a broad set of test compounds, and further revealed the mechanisms of drug combinations. Thus, prognosis-guided synergistic gene-gene interaction networks could serve as an efficient in silico tool for pre-clinical drug prioritization and rational design of combinatorial therapies. PMID:21085674

  20. Grapefruit and drug interactions.

    PubMed

    2012-12-01

    Since the late 1980s, grapefruit juice has been known to affect the metabolism of certain drugs. Several serious adverse effects involving drug interactions with grapefruit juice have been published in detail. The components of grapefruit juice vary considerably depending on the variety, maturity and origin of the fruit, local climatic conditions, and the manufacturing process. No single component accounts for all observed interactions. Other grapefruit products are also occasionally implicated, including preserves, lyophylised grapefruit juice, powdered whole grapefruit, grapefruit seed extract, and zest. Clinical reports of drug interactions with grapefruit juice are supported by pharmacokinetic studies, each usually involving about 10 healthy volunteers, in which the probable clinical consequences were extrapolated from the observed plasma concentrations. Grapefruit juice inhibits CYP3A4, the cytochrome P450 isoenzyme most often involved in drug metabolism. This increases plasma concentrations of the drugs concerned, creating a risk of overdose and dose-dependent adverse effects. Grapefruit juice also inhibits several other cytochrome P450 isoenzymes, but they are less frequently implicated in interactions with clinical consequences. Drugs interacting with grapefruit and inducing serious clinical consequences (confirmed or very probable) include: immunosuppressants, some statins, benzodiazepines, most calcium channel blockers, indinavir and carbamazepine. There are large inter-individual differences in enzyme efficiency. Along with the variable composition of grapefruit juice, this makes it difficult to predict the magnitude and clinical consequences of drug interactions with grapefruit juice in a given patient. There is increasing evidence that transporter proteins such as organic anion transporters and P-glycoprotein are involved in interactions between drugs and grapefruit juice. In practice, numerous drugs interact with grapefruit juice. Although only a few

  1. Information needs for making clinical recommendations about potential drug-drug interactions: a synthesis of literature review and interviews.

    PubMed

    Romagnoli, Katrina M; Nelson, Scott D; Hines, Lisa; Empey, Philip; Boyce, Richard D; Hochheiser, Harry

    2017-02-22

    Drug information compendia and drug-drug interaction information databases are critical resources for clinicians and pharmacists working to avoid adverse events due to exposure to potential drug-drug interactions (PDDIs). Our goal is to develop information models, annotated data, and search tools that will facilitate the interpretation of PDDI information. To better understand the information needs and work practices of specialists who search and synthesize PDDI evidence for drug information resources, we conducted an inquiry that combined a thematic analysis of published literature with unstructured interviews. Starting from an initial set of relevant articles, we developed search terms and conducted a literature search. Two reviewers conducted a thematic analysis of included articles. Unstructured interviews with drug information experts were conducted and similarly coded. Information needs, work processes, and indicators of potential strengths and weaknesses of information systems were identified. Review of 92 papers and 10 interviews identified 56 categories of information needs related to the interpretation of PDDI information including drug and interaction information; study design; evidence including clinical details, quality and content of reports, and consequences; and potential recommendations. We also identified strengths/weaknesses of PDDI information systems. We identified the kinds of information that might be most effective for summarizing PDDIs. The drug information experts we interviewed had differing goals, suggesting a need for detailed information models and flexible presentations. Several information needs not discussed in previous work were identified, including temporal overlaps in drug administration, biological plausibility of interactions, and assessment of the quality and content of reports. Richly structured depictions of PDDI information may help drug information experts more effectively interpret data and develop recommendations

  2. AAPS workshop report: strategies to address therapeutic protein-drug interactions during clinical development.

    PubMed

    Girish, Sandhya; Martin, Steven W; Peterson, Mark C; Zhang, Lei K; Zhao, Hong; Balthasar, Joseph; Evers, Raymond; Zhou, Honghui; Zhu, Min; Klunk, Lewis; Han, Chao; Berglund, Eva Gil; Huang, Shiew-Mei; Joshi, Amita

    2011-09-01

    Therapeutic proteins (TPs) are increasingly combined with small molecules and/or with other TPs. However preclinical tools and in vitro test systems for assessing drug interaction potential of TPs such as monoclonal antibodies, cytokines and cytokine modulators are limited. Published data suggests that clinically relevant TP-drug interactions (TP-DI) are likely from overlap in mechanisms of action, alteration in target and/or drug-disease interaction. Clinical drug interaction studies are not routinely conducted for TPs because of the logistical constraints in study design to address pharmacokinetic (PK)- and pharmacodynamic (PD)-based interactions. Different pharmaceutical companies have developed their respective question- and/or risk-based approaches for TP-DI based on the TP mechanism of action as well as patient population. During the workshop both company strategies and regulatory perspectives were discussed in depth using case studies; knowledge gaps and best practices were subsequently identified and discussed. Understanding the functional role of target, target expression and their downstream consequences were identified as important for assessing the potential for a TP-DI. Therefore, a question-and/or risk-based approach based upon the mechanism of action and patient population was proposed as a reasonable TP-DI strategy. This field continues to evolve as companies generate additional preclinical and clinical data to improve their understanding of possible mechanisms for drug interactions. Regulatory agencies are in the process of updating their recommendations to sponsors regarding the conduct of in vitro and in vivo interaction studies for new drug applications (NDAs) and biologics license applications (BLAs).

  3. Drug-nutrient interactions.

    PubMed

    Chan, Lingtak-Neander

    2013-07-01

    Drug-nutrient interactions are defined as physical, chemical, physiologic, or pathophysiologic relationships between a drug and a nutrient. The causes of most clinically significant drug-nutrient interactions are usually multifactorial. Failure to identify and properly manage drug-nutrient interactions can lead to very serious consequences and have a negative impact on patient outcomes. Nevertheless, with thorough review and assessment of the patient's history and treatment regimens and a carefully executed management strategy, adverse events associated with drug-nutrient interactions can be prevented. Based on the physiologic sequence of events after a drug or a nutrient has entered the body and the mechanism of interactions, drug-nutrient interactions can be categorized into 4 main types. Each type of interaction can be managed using similar strategies. The existing data that guide the clinical management of most drug-nutrient interactions are mostly anecdotal experience, uncontrolled observations, and opinions, whereas the science in understanding the mechanism of drug-nutrient interactions remains limited. The challenge for researchers and clinicians is to increase both basic and higher level clinical research in this field to bridge the gap between the science and practice. The research should aim to establish a better understanding of the function, regulation, and substrate specificity of the nutrient-related enzymes and transport proteins present in the gastrointestinal tract, as well as assess how the incidence and management of drug-nutrient interactions can be affected by sex, ethnicity, environmental factors, and genetic polymorphisms. This knowledge can help us develop a true personalized medicine approach in the prevention and management of drug-nutrient interactions.

  4. Performance of a clinical decision support system and of clinical pharmacists in preventing drug-drug interactions on a geriatric ward.

    PubMed

    Cornu, Pieter; Steurbaut, Stephane; Soštarić, Sabina; Mrhar, Aleš; Dupont, Alain G

    2014-06-01

    Drug-drug interactions (DDIs) can lead to adverse drug events and compromise patient safety. Two common approaches to reduce these interactions in hospital practice are the use of clinical decision support systems and interventions by clinical pharmacists. To compare the performance of both approaches with the main objective of learning from one approach to improve the other. Acute geriatric ward in a university hospital. Prospective single-centre, cohort study of patients admitted to the geriatric ward. An independent pharmacist compared the clinical decision support alerts with the DDIs identified by clinical pharmacists and evaluated their interventions. Contextual factors used by the clinical pharmacists for evaluation of the clinical relevance were analysed. Adverse drug events related to DDIs were investigated and the causality was evaluated by a clinical pharmacologist based on validated criteria. Number of alerts, interventions and the acceptance rates. Fifty patients followed by the clinical pharmacists, were included. The clinical pharmacists identified 240 DDIs (median of 3.5 per patient) and advised a therapy change for 16 of which 13 (81.2 %) were accepted and three (18.8 %) were not. The decision support system generated only six alerts of which none were accepted by the physicians. Thirty-seven adverse drug events were identified for 29 patients that could be related to 55 DDIs. For two interactions the causality was evaluated as certain, for 31 as likely, for ten as possible and for 12 as unlikely. Mainly intermediate level interactions were related to adverse drug events. Contextual factors taken into account by the clinical pharmacists for evaluation of the interactions were blood pressure, international normalised ratio, heart rate, potassium level and glycemia. Additionally, the clinical pharmacists looked at individual administration intervals and drug sequence to determine the clinical relevance of the interactions. Clinical pharmacists

  5. Curcumin as a clinically-promising anti-cancer agent: pharmacokinetics and drug interactions.

    PubMed

    Adiwidjaja, Jeffry; McLachlan, Andrew J; Boddy, Alan V

    2017-09-01

    Curcumin has been extensively studied for its anti-cancer properties. While a diverse array of in vitro and preclinical research support the prospect of curcumin use as an anti-cancer therapeutic, most human studies have failed to meet the intended clinical expectation. Poor systemic availability of orally-administered curcumin may account for this disparity. Areas covered: This descriptive review aims to concisely summarise available clinical studies investigating curcumin pharmacokinetics when administered in different formulations. A critical analysis of pharmacokinetic- and pharmacodynamic-based interactions of curcumin with concomitantly administered drugs is also provided. Expert opinion: The encouraging clinical results of curcumin administration are currently limited to people with colorectal cancer, given that sufficient curcumin concentrations persist in colonic mucosa. Higher parent curcumin systemic exposure, which can be achieved by several newer formulations, has important implications for optimal treatment of cancers other than those in gastrointestinal tract. Curcumin-drug pharmacokinetic interactions are also almost exclusively in the enterocytes, owing to extensive first pass metabolism and poor curcumin bioavailability. Greater scope of these interactions, i.e. modulation of the systemic elimination of co-administered drugs, may be expected from more-bioavailable curcumin formulations. Further studies are still warranted, especially with newer formulations to support the inclusion of curcumin in cancer therapy regimens.

  6. Potential drug-drug and drug-disease interactions in prescriptions for ambulatory patients over 50 years of age in family medicine clinics in Mexico City

    PubMed Central

    Doubova (Dubova), Svetlana Vladislavovna; Reyes-Morales, Hortensia; Torres-Arreola, Laura del Pilar; Suárez-Ortega, Magdalena

    2007-01-01

    Background In Mexico, inappropriate prescription of drugs with potential interactions causing serious risks to patient health has been little studied. Work in this area has focused mainly on hospitalized patients, with only specific drug combinations analyzed; moreover, the studies have not produced conclusive results. In the present study, we determined the frequency of potential drug-drug and drug-disease interactions in prescriptions for ambulatory patients over 50 years of age, who used Mexican Institute of Social Security (IMSS) family medicine clinics. In addition, we aimed to identify the associated factors for these interactions. Methods We collected information on general patient characteristics, medical histories, and medication (complete data). The study included 624 ambulatory patients over 50 years of age, with non-malignant pain syndrome, who made ambulatory visits to two IMSS family medicine clinics in Mexico City. The patients received 7-day prescriptions for non-opioid analgesics. The potential interactions were identified by using the Thompson Micromedex program. Data were analyzed using descriptive, bivariate and multiple logistic regression analyses. Results The average number of prescribed drugs was 5.9 ± 2.5. About 80.0% of patients had prescriptions implying one or more potential drug-drug interactions and 3.8% of patients were prescribed drug combinations with interactions that should be avoided. Also, 64.0% of patients had prescriptions implying one or more potential drug disease interactions. The factors significantly associated with having one or more potential interactions included: taking 5 or more medicines (adjusted Odds Ratio (OR): 4.34, 95%CI: 2.76–6.83), patient age 60 years or older (adjusted OR: 1.66, 95% CI: 1.01–2.74) and suffering from cardiovascular diseases (adjusted OR: 7.26, 95% CI: 4.61–11.44). Conclusion The high frequency of prescription of drugs with potential drug interactions showed in this study suggests that

  7. Molecular conformations, interactions, and properties associated with drug efficiency and clinical performance among VEGFR TK inhibitors

    SciTech Connect

    McTigue, Michele; Murray, Brion William; Chen, Jeffrey H.; Deng, Ya-Li; Solowiej, James; Kania, Robert S.

    2012-09-17

    We performed analyses of compounds in clinical development which have shown that ligand efficient-molecules with privileged physical properties and low dose are less likely to fail in the various stages of clinical testing, have fewer postapproval withdrawals, and are less likely to receive black box safety warnings. However, detailed side-by-side examination of molecular interactions and properties within single drug classes are lacking. As a class, VEGF receptor tyrosine kinase inhibitors (VEGFR TKIs) have changed the landscape of how cancer is treated, particularly in clear cell renal cell carcinoma, which is molecularly linked to the VEGF signaling axis. Despite the clear role of the molecular target, member molecules of this validated drug class exhibit distinct clinical efficacy and safety profiles in comparable renal cell carcinoma clinical studies. The first head-to-head randomized phase III comparative study between active VEGFR TKIs has confirmed significant differences in clinical performance [Rini BI, et al. (2011) Lancet 378:193–1939]. To elucidate how fundamental drug potency–efficiency is achieved and impacts differentiation within the VEGFR TKI class, we determined potencies, time dependence, selectivities, and X-ray structures of the drug–kinase complexes using a VEGFR2 TK construct inclusive of the important juxtamembrane domain. Collectively, the studies elucidate unique drug–kinase interactions that are dependent on distinct juxtamembrane domain conformations, resulting in significant potency and ligand efficiency differences. Finally, the identified structural trends are consistent with in vitro measurements, which translate well to clinical performance, underscoring a principle that may be broadly applicable to prospective drug design for optimal in vivo performance.

  8. Raltegravir Has a Low Propensity To Cause Clinical Drug Interactions through Inhibition of Major Drug Transporters: an In Vitro Evaluation

    PubMed Central

    Houle, Robert; Chan, Grace Hoyee; Hafey, Mike; Rhee, Elizabeth G.; Chu, Xiaoyan

    2014-01-01

    Raltegravir (RAL) is a human immunodeficiency virus type 1 (HIV-1) integrase inhibitor approved to treat HIV infection in adults in combination with other antiretrovirals. The potential of RAL to cause transporter-related drug-drug interactions (DDIs) as an inhibitor has not been well described to date. In this study, a series of in vitro experiments were conducted to assess the inhibitory effects of RAL on major human drug transporters known to be involved in clinically relevant drug interactions, including hepatic and renal uptake transporters and efflux transporters. For hepatic uptake transporters, RAL showed no inhibition of organic anion-transporting polypeptide 1B1 (OATP1B1), weak inhibition of OATP1B3 (40% inhibition at 100 μM), and no inhibition of organic cation transporter 1 (OCT1). Studies of renal uptake transporters showed that RAL inhibited organic anion transporters 1 and 3 (OAT1 and OAT3) with 50% inhibitory concentrations (IC50s) (108 μM and 18.8 μM, respectively) well above the maximum concentration of drug in plasma (Cmax) at the clinical 400-mg dose and did not inhibit organic cation transporter 2 (OCT2). As for efflux transporters, RAL did not inhibit breast cancer resistance protein (BCRP) and showed weak inhibition of multidrug and toxin extrusion protein 1 (MATE1) (52% inhibition at 100 μM) and MATE2-K (29% inhibition at 100 μM). These studies indicate that at clinically relevant exposures, RAL does not inhibit or only weakly inhibits hepatic uptake transporters OATP1B1, OATP1B3, and OCT1, renal uptake transporters OCT2, OAT1, and OAT3, as well as efflux transporters BCRP, MATE1, and MATE2-K. The propensity for RAL to cause DDIs via inhibition of these transporters is therefore considered low. PMID:24295974

  9. Key Findings from Preclinical and Clinical Drug Interaction Studies Presented in New Drug and Biological License Applications Approved by the Food and Drug Administration in 2014.

    PubMed

    Yu, Jingjing; Ritchie, Tasha K; Zhou, Zhu; Ragueneau-Majlessi, Isabelle

    2016-01-01

    Regulatory approval documents contain valuable information, often not published, to assess the drug-drug interaction (DDI) profile of newly marketed drugs. This analysis aimed to systematically review all drug metabolism, transport, pharmacokinetics, and DDI data available in the new drug applications and biologic license applications approved by the U.S. Food and Drug Administration in 2014, using the University of Washington Drug Interaction Database, and to highlight the significant findings. Among the 30 new drug applications and 11 biologic license applications reviewed, 35 new molecular entities (NMEs) were well characterized with regard to drug metabolism, transport, and/or organ impairment and were fully analyzed in this review. In vitro, a majority of the NMEs were found to be substrates or inhibitors/inducers of at least one drug metabolizing enzyme or transporter. In vivo, when NMEs were considered as victim drugs, 16 NMEs had at least one in vivo DDI study with a clinically significant change in exposure (area under the time-plasma concentration curve or Cmax ratio ≥2 or ≤0.5), with 6 NMEs shown to be sensitive substrates of cytochrome P450 enzymes (area under the time-plasma concentration curve ratio ≥5 when coadministered with potent inhibitors): paritaprevir and naloxegol (CYP3A), eliglustat (CYP2D6), dasabuvir (CYP2C8), and tasimelteon and pirfenidone (CYP1A2). As perpetrators, seven NMEs showed clinically significant inhibition involving both enzymes and transporters, although no clinically significant induction was observed. Physiologically based pharmacokinetic modeling and pharmacogenetics studies were used for six and four NMEs, respectively, to optimize dosing recommendations in special populations and/or multiple impairment situations. In addition, the pharmacokinetic evaluations in patients with hepatic or renal impairment provided useful quantitative information to support drug administration in these fragile populations.

  10. Comparison of three commercial knowledge bases for detection of drug-drug interactions in clinical decision support.

    PubMed

    Fung, Kin Wah; Kapusnik-Uner, Joan; Cunningham, Jean; Higby-Baker, Stefanie; Bodenreider, Olivier

    2017-07-01

    To compare 3 commercial knowledge bases (KBs) used for detection and avoidance of potential drug-drug interactions (DDIs) in clinical practice. Drugs in the DDI tables from First DataBank (FDB), Micromedex, and Multum were mapped to RxNorm. The KBs were compared at the clinical drug, ingredient, and DDI rule levels. The KBs were evaluated against a reference list of highly significant DDIs from the Office of the National Coordinator for Health Information Technology (ONC). The KBs and the ONC list were applied to a prescription data set to simulate their use in clinical decision support. The KBs contained 1.6 million (FDB), 4.5 million (Micromedex), and 4.8 million (Multum) clinical drug pairs. Altogether, there were 8.6 million unique pairs, of which 79% were found only in 1 KB and 5% in all 3 KBs. However, there was generally more agreement than disagreement in the severity rankings, especially in the contraindicated category. The KBs covered 99.8-99.9% of the alerts of the ONC list and would have generated 25 (FDB), 145 (Micromedex), and 84 (Multum) alerts per 1000 prescriptions. The commercial KBs differ considerably in size and quantity of alerts generated. There is less variability in severity ranking of DDIs than suggested by previous studies. All KBs provide very good coverage of the ONC list. More work is needed to standardize the editorial policies and evidence for inclusion of DDIs to reduce variation among knowledge sources and improve relevance. Some DDIs considered contraindicated in all 3 KBs might be possible candidates to add to the ONC list.

  11. The interaction between oral melphalan and gastric antisecretory drugs: Impact on clinical efficacy and toxicity

    PubMed Central

    KITAZAWA, FUMIAKI; KADO, YOKO; UEDA, KUMI; KOKUFU, TAKATOSHI; FUCHIDA, SHIN-ICHI; OKANO, AKIRA; HATSUSE, MAYUMI; MURAKAMI, SATOSHI; NAKAYAMA, YUKO; TAKARA, KOHJI; SHIMAZAKI, CHIHIRO

    2016-01-01

    The aim of the present study was to clarify whether gastric antisecretory drugs affect the clinical efficacy and toxicity of orally administered melphalan in patients with multiple myeloma. A total of 10 patients receiving bortezomib plus oral melphalan and prednisolone (VMP) therapy between December 2011 and November 2014 were analyzed retrospectively. The patients were divided into a control group (seven patients) and a concomitant group (three patients, who were also administered with gastric antisecretory drugs). The gastric antisecretory drugs included rabeprazole sodium (two patients) and famotidine (one patient). No significant differences between the groups were observed in either the characteristics of the patients or the VMP regimen. The levels of monoclonal protein (M protein) in the control group tended to decrease (with a VMP cycle-dependency), although they were primarily stable in the concomitant group. During the second and third VMP cycles, the levels of M protein were markedly lower in the control group compared with the concomitant group. All the patients in the control group achieved a partial response, whereas those in the concomitant group exhibited stable disease. Hematological toxicity levels were revealed to be comparable between the two groups, whereas gastrointestinal toxicity was more prevalent in the control group. In conclusion, the results of the present study suggested that the clinical efficacy of melphalan may be reduced by the co-administration of gastric antisecretory drugs. This interaction may result in decreased toxicity and clinical efficacy of melphalan. PMID:26893878

  12. The interaction between oral melphalan and gastric antisecretory drugs: Impact on clinical efficacy and toxicity.

    PubMed

    Kitazawa, Fumiaki; Kado, Yoko; Ueda, Kumi; Kokufu, Takatoshi; Fuchida, Shin-Ichi; Okano, Akira; Hatsuse, Mayumi; Murakami, Satoshi; Nakayama, Yuko; Takara, Kohji; Shimazaki, Chihiro

    2016-02-01

    The aim of the present study was to clarify whether gastric antisecretory drugs affect the clinical efficacy and toxicity of orally administered melphalan in patients with multiple myeloma. A total of 10 patients receiving bortezomib plus oral melphalan and prednisolone (VMP) therapy between December 2011 and November 2014 were analyzed retrospectively. The patients were divided into a control group (seven patients) and a concomitant group (three patients, who were also administered with gastric antisecretory drugs). The gastric antisecretory drugs included rabeprazole sodium (two patients) and famotidine (one patient). No significant differences between the groups were observed in either the characteristics of the patients or the VMP regimen. The levels of monoclonal protein (M protein) in the control group tended to decrease (with a VMP cycle-dependency), although they were primarily stable in the concomitant group. During the second and third VMP cycles, the levels of M protein were markedly lower in the control group compared with the concomitant group. All the patients in the control group achieved a partial response, whereas those in the concomitant group exhibited stable disease. Hematological toxicity levels were revealed to be comparable between the two groups, whereas gastrointestinal toxicity was more prevalent in the control group. In conclusion, the results of the present study suggested that the clinical efficacy of melphalan may be reduced by the co-administration of gastric antisecretory drugs. This interaction may result in decreased toxicity and clinical efficacy of melphalan.

  13. Clinical drug-drug interactions of bosentan, a potent endothelial receptor antagonist, with various drugs: Physiological role of enzymes and transporters.

    PubMed

    Srinivas, Nuggehally R

    2016-07-01

    Bosentan, an endothelin-1 (ET) receptor antagonist is an important drug for the effective management of patients with pulmonary arterial hypertension. Bosentan has a rather complicated pharmacokinetics in humans involving multiple physiological components that have a profound influence on its drug disposition. Bosentan is mainly metabolized by cytochrome P450 (CYP) 3A4 and 2C9 enzymes with the involvement of multiple transporters that control its hepatic uptake and biliary excretion. The involvement of phase 2 metabolism of bosentan is a key to have an enhanced biliary excretion of the drug-related products. While bosentan exhibits high protein binding restricting the drug from extensive distribution and significant urinary excretion, bosentan induces its own metabolism by an increased expression of CYP3A4 on repeated dosing. Due to the above properties, bosentan has the potential to display drug-drug interaction with the co-administered drugs, either being a perpetrator or a victim. The intent of this review is manifold: a) to summarize the physiological role of CYP enzymes and hepatic-biliary transporters; b) to discuss the mechanism(s) involved in the purported liver injury caused by bosentan; c) to tabulate the numerous clinical drug-drug interaction studies involving the physiological interplay with CYP and/or transporters; d) to provide some perspectives on dosing strategy of bosentan.

  14. Integration of heterogeneous clinical decision support systems and their knowledge sets: feasibility study with Drug-Drug Interaction alerts.

    PubMed

    Kam, Hye Jin; Kim, Jeong Ah; Cho, InSook; Kim, Yoon; Park, Rae Woong

    2011-01-01

    There exist limitations in both commercial and in-house clinical decision support systems (CDSSs) and issues related to the integration of different knowledge sources and CDSSs. We chose Standard-based Shareable Active Guideline Environment (SAGE) as a new architecture with knowledge integration and a centralized knowledge base which includes authoring/management functions and independent CDSS, and applied it to Drug-Drug Interaction (DDI) CDSS. The aim of this study was to evaluate the feasibility of the newly integrated DDI alerting CDSS into a real world hospital information system involving construction of an integrated CDSS derived from two heterogeneous systems and their knowledge sets. The proposed CDSS was successfully implemented and compensated for the weaknesses of the old CDSS from knowledge integration and management, and its applicability in actual situations was verified. Although the DDI CDSS was constructed as an example case, the new CDS architecture might prove applicable to areas of CDSSs.

  15. Clinical drug-drug interaction assessment of ivacaftor as a potential inhibitor of cytochrome P450 and P-glycoprotein.

    PubMed

    Robertson, Sarah M; Luo, Xia; Dubey, Neeraj; Li, Chonghua; Chavan, Ajit B; Gilmartin, Geoffrey S; Higgins, Mark; Mahnke, Lisa

    2015-01-01

    Ivacaftor is approved in the USA for the treatment of cystic fibrosis (CF) in patients with a G551D-CFTR mutation or one of eight other CFTR mutations. A series of in vitro experiments conducted early in the development of ivacaftor indicated ivacaftor and metabolites may have the potential to inhibit cytochrome P450 (CYP) 2C8, CYP2C9, CYP3A, and CYP2D6, as well as P-glycoprotein (P-gp). Based on these results, a series of clinical drug-drug interaction (DDI) studies were conducted to evaluate the effect of ivacaftor on sensitive substrates of CYP2C8 (rosiglitazone), CYP3A (midazolam), CYP2D6 (desipramine), and P-gp (digoxin). In addition, a DDI study was conducted to evaluate the effect of ivacaftor on a combined oral contraceptive, as this is considered an important comedication in CF patients. The results indicate ivacaftor is a weak inhibitor of CYP3A and P-gp, but has no effect on CYP2C8 or CYP2D6. Ivacaftor caused non-clinically significant increases in ethinyl estradiol and norethisterone exposure. Based on these results, caution and appropriate monitoring are recommended when concomitant substrates of CYP2C9, CYP3A and/or P-gp are used during treatment with ivacaftor, particularly drugs with a narrow therapeutic index, such as warfarin.

  16. Pharmacokinetic drug interaction profile of omeprazole with adverse consequences and clinical risk management

    PubMed Central

    Li, Wei; Zeng, Su; Yu, Lu-Shan; Zhou, Quan

    2013-01-01

    Background Omeprazole, a proton pump inhibitor (PPI), is widely used for the treatment of dyspepsia, peptic ulcer, gastroesophageal reflux disease, and functional dyspepsia. Polypharmacy is common in patients receiving omeprazole. Drug toxicity and treatment failure resulting from inappropriate combination therapy with omeprazole have been reported sporadically. Systematic review has not been available to address the pharmacokinetic drug-drug interaction (DDI) profile of omeprazole with adverse consequences, the factors determining the degree of DDI between omeprazole and comedication, and the corresponding clinical risk management. Methods Literature was identified by performing a PubMed search covering the period from January 1988 to March 2013. The full text of each article was critically reviewed, and data interpretation was performed. Results Omeprazole has actual adverse influences on the pharmacokinetics of medications such as diazepam, carbamazepine, clozapine, indinavir, nelfinavir, atazanavir, rilpivirine, methotrexate, tacrolimus, mycophenolate mofetil, clopidogrel, digoxin, itraconazole, posaconazole, and oral iron supplementation. Meanwhile, low efficacy of omeprazole treatment would be anticipated, as omeprazole elimination could be significantly induced by comedicated efavirenz and herb medicines such as St John’s wort, Ginkgo biloba, and yin zhi huang. The mechanism for DDI involves induction or inhibition of cytochrome P450, inhibition of P-glycoprotein or breast cancer resistance protein-mediated drug transport, and inhibition of oral absorption by gastric acid suppression. Sometimes, DDIs of omeprazole do not exhibit a PPI class effect. Other suitable PPIs or histamine 2 antagonists may be therapeutic alternatives that can be used to avoid adverse consequences. The degree of DDIs associated with omeprazole and clinical outcomes depend on factors such as genotype status of CYP2C19 and CYP1A2, ethnicity, dose and treatment course of precipitant

  17. Pharmacokinetic drug interactions of morphine, codeine, and their derivatives: theory and clinical reality, Part II.

    PubMed

    Armstrong, Scott C; Cozza, Kelly L

    2003-01-01

    Pharmacokinetic drug-drug interactions with codeine, dihydrocodeine, hydrocodone, oxycodone, and buprenorphine are reviewed in this column. These compounds have a very similar chemical structure to morphine. Unlike morphine, which is metabolized chiefly through conjugation reactions with uridine diphosphate glucuronosyl transferase (UGT) enzymes, these five drugs are metabolized both through oxidative reactions by the cytochrome P450 (CYP450) enzyme and conjugation by UGT enzymes. There is controversy as to whether codeine, dihydrocodeine, and hydrocodone are actually prodrugs requiring activation by the CYP450 2D6 enzyme or UGT enzymes. Oxycodone and buprenorphine, however, are clearly not prodrugs and are metabolized by the CYP450 2D6 and 3A4 enzymes, respectively. Knowledge of this metabolism assists in the understanding for the potential of drug-drug interactions with these drugs. This understanding is important so that clinicians can choose the proper dosages for analgesia and anticipate potential drug-drug interactions.

  18. How the Probability and Potential Clinical Significance of Pharmacokinetically Mediated Drug-Drug Interactions Are Assessed in Drug Development: Desvenlafaxine as an Example

    PubMed Central

    Nichols, Alice I.; Preskorn, Sheldon H.

    2015-01-01

    Objective: The avoidance of adverse drug-drug interactions (DDIs) is a high priority in terms of both the US Food and Drug Administration (FDA) and the individual prescriber. With this perspective in mind, this article illustrates the process for assessing the risk of a drug (example here being desvenlafaxine) causing or being the victim of DDIs, in accordance with FDA guidance. Data Sources/Study Selection: DDI studies for the serotonin-norepinephrine reuptake inhibitor desvenlafaxine conducted by the sponsor and published since 2009 are used as examples of the systematic way that the FDA requires drug developers to assess whether their new drug is either capable of causing clinically meaningful DDIs or being the victim of such DDIs. In total, 8 open-label studies tested the effects of steady-state treatment with desvenlafaxine (50–400 mg/d) on the pharmacokinetics of cytochrome (CYP) 2D6 and/or CYP 3A4 substrate drugs, or the effect of CYP 3A4 inhibition on desvenlafaxine pharmacokinetics. The potential for DDIs mediated by the P-glycoprotein (P-gp) transporter was assessed in in vitro studies using Caco-2 monolayers. Data Extraction: Changes in area under the plasma concentration-time curve (AUC; CYP studies) and efflux (P-gp studies) were reviewed for potential DDIs in accordance with FDA criteria. Results: Desvenlafaxine coadministration had minimal effect on CYP 2D6 and/or 3A4 substrates per FDA criteria. Changes in AUC indicated either no interaction (90% confidence intervals for the ratio of AUC geometric least-squares means [GM] within 80%–125%) or weak inhibition (AUC GM ratio 125% to < 200%). Coadministration with ketoconazole resulted in a weak interaction with desvenlafaxine (AUC GM ratio of 143%). Desvenlafaxine was not a substrate (efflux ratio < 2) or inhibitor (50% inhibitory drug concentration values > 250 μM) of P-gp. Conclusions: A 2-step process based on FDA guidance can be used first to determine whether a pharmacokinetically mediated

  19. [Clopidogrel--proton pump inhibitors drug interaction: implications to clinical practice].

    PubMed

    Fontes-Carvalho, Ricardo; Albuquerque, Aníbal

    2010-10-01

    Recent studies have raised the concern that proton pump inhibitors (PPIs) could potentially interfere with clopidogrel antiplatelet effect. This association is frequent in clinical practice and is recommended by recent consensus guidelines in patients taking dual antiplatelet therapy to prevent gastrointestinal (GI) bleeding. Clopidogrel is a pro-drug which needs to be metabolized into its active metabolite, by cytochrome P450, especially by CYP2C19 isoenzyme. Various PPIs can inhibit CYP2C19, which could possibly decrease clopidogrel bioactivation process and, therefore, its antiplatelet effect. Various platelet function studies have shown that omeprazol can significantly decrease clopidogrel inhibitory effect on platelet P2Y12 receptor, leading to an increase in the number of patients who are "nonresponders" to clopidogrel. These pharmacokinetic studies also shown that this is not probably a class effect of PPIs, because they are metabolized to varying degrees by CYP2C19. The clinical impact of these observations remains uncertain, because various observational studies have shown conflicting results, and remains to demonstrate if PPIs can really increase the risk of cardiovascular events in patients taking clopidogrel. In this review we will discuss the pharmacokinetic basis underlying this drug interaction, the effect of different PPIs on platelet function tests and we will analyze in detail the potential clinical implications of using this association, both on cardiovascular and gastrointestinal events. Until further data is available, some clinical strategies can be recommended: (1) individual gastrointestinal risk assessment, with PPIs administration only to patients on dual anti-platelet therapy with additional GI risk factors; (2) preferential use of PPIs that have shown less interference with clopidogrel efficacy; (3) wide separation of PPI and clopidogrel dosing to minimize the risk of interaction (PPI may be given before breakfast and clopidogrel at

  20. Is the clinical relevance of drug-food and drug-herb interactions limited to grapefruit juice and Saint-John's Wort?

    PubMed

    Mouly, Stéphane; Lloret-Linares, Célia; Sellier, Pierre-Olivier; Sene, Damien; Bergmann, J-F

    2017-04-01

    An interaction of drug with food, herbs, and dietary supplements is usually the consequence of a physical, chemical or physiologic relationship between a drug and a product consumed as food, nutritional supplement or over-the-counter medicinal plant. The current educational review aims at reminding to the prescribing physicians that the most clinically relevant drug-food interactions may not be strictly limited to those with grapefruit juice and with the Saint John's Wort herbal extract and may be responsible for changes in drug plasma concentrations, which in turn decrease efficacy or led to sometimes life-threatening toxicity. Common situations handled in clinical practice such as aging, concomitant medications, transplant recipients, patients with cancer, malnutrition, HIV infection and those receiving enteral or parenteral feeding may be at increased risk of drug-food or drug-herb interactions. Medications with narrow therapeutic index or potential life-threatening toxicity, e.g., the non-steroidal anti-inflammatory drugs, opioid analgesics, cardiovascular medications, warfarin, anticancer drugs and immunosuppressants may be at risk of significant drug-food interactions to occur. Despite the fact that considerable effort has been achieved to increase patient' and doctor's information and ability to anticipate their occurrence and consequences in clinical practice, a thorough and detailed health history and dietary recall are essential for identifying potential problems in order to optimize patient prescriptions and drug dosing on an individual basis as well as to increase the treatment risk/benefit ratio.

  1. The role of clinical pharmacists in educating nurses to reduce drug-food interactions (absorption phase) in hospitalized patients.

    PubMed

    Abbasi Nazari, Mohammad; Salamzadeh, Jamshid; Hajebi, Giti; Gilbert, Benjamin

    2011-01-01

    Drug-food interactions can increase or decrease drug effects, resulting in therapeutic failure or toxicity. Activities that reduce these interactions play an important role for clinical pharmacists. This study was planned and performed in order to determine the role of clinical pharmacist in the prevention of absorption drug-food interactions through educating the nurses in a teaching hospital affiliated to Shahid Beheshti University of Medical Sciences, Tehran, Iran. The rate of interactions was determined using direct observation methods before and after the nurse training courses in four wards including gastrointestinal-liver, endocrine, vascular surgery and nephrology. Training courses consisted of the nurse attendance lecture delivered by a clinical pharmacist which included receiving information pamphlets. Total incorrect drug administration fell down from 44.6% to 31.5%. The analysis showed that the rate of absorption drug-food interactions significantly decreased after the nurse training courses (p < 0.001). Clinical pharmacist can play an important role in nurse training as an effective method to reduce drug-food interactions in hospitals.

  2. In Vitro and Clinical Evaluations of the Drug-Drug Interaction Potential of a Metabotropic Glutamate 2/3 Receptor Agonist Prodrug with Intestinal Peptide Transporter 1

    PubMed Central

    Long, Amanda J.; Annes, William F.; Witcher, Jennifer W.; Knadler, Mary Pat; Ayan-Oshodi, Mosun A.; Mitchell, Malcolm I.; Leese, Phillip; Hillgren, Kathleen M.

    2017-01-01

    Despite peptide transporter 1 (PEPT1) being responsible for the bioavailability for a variety of drugs, there has been little study of its potential involvement in drug-drug interactions. Pomaglumetad methionil, a metabotropic glutamate 2/3 receptor agonist prodrug, utilizes PEPT1 to enhance absorption and bioavailability. In vitro studies were conducted to guide the decision to conduct a clinical drug interaction study and to inform the clinical study design. In vitro investigations determined the prodrug (LY2140023 monohydrate) is a substrate of PEPT1 with Km value of approximately 30 µM, whereas the active moiety (LY404039) is not a PEPT1 substrate. In addition, among the eight known PEPT1 substrates evaluated in vitro, valacyclovir was the most potent inhibitor (IC50 = 0.46 mM) of PEPT1-mediated uptake of the prodrug. Therefore, a clinical drug interaction study was conducted to evaluate the potential interaction between the prodrug and valacyclovir in healthy subjects. No effect of coadministration was observed on the pharmacokinetics of the prodrug, valacyclovir, or either of their active moieties. Although in vitro studies showed potential for the prodrug and valacyclovir interaction via PEPT1, an in vivo study showed no interaction between these two drugs. PEPT1 does not appear to easily saturate because of its high capacity and expression in the intestine. Thus, a clinical interaction at PEPT1 is unlikely even with a compound with high affinity for the transporter. PMID:27895114

  3. Clinical-pharmacist intervention reduces clinically relevant drug-drug interactions in patients with heart failure: A randomized, double-blind, controlled trial.

    PubMed

    Roblek, Tina; Deticek, Andreja; Leskovar, Bostjan; Suskovic, Stanislav; Horvat, Matej; Belic, Ales; Mrhar, Ales; Lainscak, Mitja

    2016-01-15

    Incidence of drug-drug interactions (DDIs) increases with complexity of treatment and comorbidities, as in heart failure (HF). This randomized, double-blind study evaluated the intervention of the pharmacist on prevalence of clinically relevant DDIs (NCT01855165). Patients admitted with HF were screened for clinically relevant DDIs, and randomized to control or intervention. All attending physicians received standard advice about pharmacological therapy; those in the intervention group also received alerts about clinically relevant DDIs. Primary endpoint was DDI at discharge and secondary were re-hospitalization or death during follow-up. Of 213 patients, 51 (mean age, 79 ± 6 years; male, 47%) showed 66 clinically relevant DDIs and were randomized. For intervention (n=26) versus control (n=25), the number of patients with and the number of DDIs were significantly lower at discharge: 8 vs. 18 and 10 vs. 31; p=0.003 and 0.0049, respectively. Over a 6 month follow-up period, 11 control and 9 intervention patients were re-hospitalized or died (p>0.2 for all). No significant differences were seen between control and intervention for patients with eGFR <60 mL/min/1.73 m(2) (78%) for re-hospitalization or death (10 vs. 7; p=0.74). Pharmacist intervention significantly reduces the number of patients with clinically relevant DDIs, but not clinical endpoints 6 months from discharge. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  4. Semi-mechanistic physiologically-based pharmacokinetic modeling of clinical glibenclamide pharmacokinetics and drug-drug-interactions.

    PubMed

    Greupink, Rick; Schreurs, Marieke; Benne, Marina S; Huisman, Maarten T; Russel, Frans G M

    2013-08-16

    We studied if the clinical pharmacokinetics and drug-drug interactions (DDIs) of the sulfonylurea-derivative glibenclamide can be simulated via a physiologically-based pharmacokinetic modeling approach. To this end, a glibenclamide PBPK-model was build in Simcyp using in vitro physicochemical and biotransformation data of the drug, and was subsequently optimized using plasma disappearance data observed after i.v. administration. The model was validated against data observed after glibenclamide oral dosing, including DDIs. We found that glibenclamide pharmacokinetics could be adequately modeled if next to CYP metabolism an active hepatic uptake process was assumed. This hepatic uptake process was subsequently included in the model in a non-mechanistic manner. After an oral dose of 0.875 mg predicted Cmax and AUC were 39.7 (95% CI:37.0-42.7)ng/mL and 108 (95% CI: 96.9-120)ng/mLh, respectively, which is in line with observed values of 43.6 (95% CI: 37.7-49.5)ng/mL and 133 (95% CI: 107-159)ng/mLh. For a 1.75 mg oral dose, the predicted and observed values were 82.5 (95% CI:76.6-88.9)ng/mL vs 91.1 (95% CI: 67.9-115.9) for Cmax and 224 (95% CI: 202-248) vs 324 (95% CI: 197-451)ng/mLh for AUC, respectively. The model correctly predicted a decrease in exposure after rifampicin pre-treatment. An increase in glibenclamide exposure after clarithromycin co-treatment was predicted, but the magnitude of the effect was underestimated because part of this DDI is the result of an interaction at the transporter level. Finally, the effects of glibenclamide and fluconazol co-administration were simulated. Our simulations indicated that co-administration of this potent CYP450 inhibitor will profoundly increase glibenclamide exposure, which is in line with clinical observations linking the glibenclamide-fluconazol combination to an increased risk of hypoglycemia. In conclusion, glibenclamide pharmacokinetics and its CYP-mediated DDIs can be simulated via PBPK-modeling. In addition, our

  5. [Predictive factors of clinically significant drug-drug interactions among regimens based on protease inhibitors, non-nucleoside reverse transcriptase inhibitors and raltegravir].

    PubMed

    Cervero, Miguel; Torres, Rafael; Jusdado, Juan José; Pastor, Susana; Agud, Jose Luis

    2016-04-15

    To determine the prevalence and types of clinically significant drug-drug interactions (CSDI) in the drug regimens of HIV-infected patients receiving antiretroviral treatment. retrospective review of database. Centre: Hospital Universitario Severo Ochoa, Infectious Unit. one hundred and forty-two participants followed by one of the authors were selected from January 1985 to December 2014. from their outpatient medical records we reviewed information from the last available visit of the participants, in relation to HIV infection, comorbidities, demographics and the drugs that they were receiving; both antiretroviral drugs and drugs not related to HIV infection. We defined CSDI from the information sheet and/or database on antiretroviral drug interactions of the University of Liverpool (http://www.hiv-druginteractions.org) and we developed a diagnostic tool to predict the possibility of CSDI. By multivariate logistic regression analysis and by estimating the diagnostic performance curve obtained, we identified a quick tool to predict the existence of drug interactions. Of 142 patients, 39 (29.11%) had some type of CSDI and in 11.2% 2 or more interactions were detected. In only one patient the combination of drugs was contraindicated (this patient was receiving darunavir/r and quetiapine). In multivariate analyses, predictors of CSDI were regimen type (PI or NNRTI) and the use of 3 or more non-antiretroviral drugs (AUC 0.886, 95% CI 0.828 to 0.944; P=.0001). The risk was 18.55 times in those receiving NNRTI and 27,95 times in those receiving IP compared to those taking raltegravir. Drug interactions, including those defined as clinically significant, are common in HIV-infected patients treated with antiretroviral drugs, and the risk is greater in IP-based regimens. Raltegravir-based prescribing, especially in patients who receive at least 3 non-HIV drugs could avoid interactions. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

  6. Milk Thistle Constituents Inhibit Raloxifene Intestinal Glucuronidation: A Potential Clinically Relevant Natural Product-Drug Interaction.

    PubMed

    Gufford, Brandon T; Chen, Gang; Vergara, Ana G; Lazarus, Philip; Oberlies, Nicholas H; Paine, Mary F

    2015-09-01

    Women at high risk of developing breast cancer are prescribed selective estrogen response modulators, including raloxifene, as chemoprevention. Patients often seek complementary and alternative treatment modalities, including herbal products, to supplement prescribed medications. Milk thistle preparations, including silibinin and silymarin, are top-selling herbal products that may be consumed by women taking raloxifene, which undergoes extensive first-pass glucuronidation in the intestine. Key constituents in milk thistle, flavonolignans, were previously shown to be potent inhibitors of intestinal UDP-glucuronosyl transferases (UGTs), with IC50s ≤ 10 μM. Taken together, milk thistle preparations may perpetrate unwanted interactions with raloxifene. The objective of this work was to evaluate the inhibitory effects of individual milk thistle constituents on the intestinal glucuronidation of raloxifene using human intestinal microsomes and human embryonic kidney cell lysates overexpressing UGT1A1, UGT1A8, and UGT1A10, isoforms highly expressed in the intestine that are critical to raloxifene clearance. The flavonolignans silybin A and silybin B were potent inhibitors of both raloxifene 4'- and 6-glucuronidation in all enzyme systems. The Kis (human intestinal microsomes, 27-66 µM; UGT1A1, 3.2-8.3 µM; UGT1A8, 19-73 µM; and UGT1A10, 65-120 µM) encompassed reported intestinal tissue concentrations (20-310 µM), prompting prediction of clinical interaction risk using a mechanistic static model. Silibinin and silymarin were predicted to increase raloxifene systemic exposure by 4- to 5-fold, indicating high interaction risk that merits further evaluation. This systematic investigation of the potential interaction between a widely used herbal product and chemopreventive agent underscores the importance of understanding natural product-drug interactions in the context of cancer prevention.

  7. Clinically significant drug–drug interactions involving opioid analgesics used for pain treatment in patients with cancer: a systematic review

    PubMed Central

    Kotlinska-Lemieszek, Aleksandra; Klepstad, Pål; Haugen, Dagny Faksvåg

    2015-01-01

    Background Opioids are the most frequently used drugs to treat pain in cancer patients. In some patients, however, opioids can cause adverse effects and drug–drug interactions. No advice concerning the combination of opioids and other drugs is given in the current European guidelines. Objective To identify studies that report clinically significant drug–drug interactions involving opioids used for pain treatment in adult cancer patients. Design and data sources Systematic review with searches in Embase, MEDLINE, and Cochrane Central Register of Controlled Trials from the start of the databases (Embase from 1980) through January 2014. In addition, reference lists of relevant full-text papers were hand-searched. Results Of 901 retrieved papers, 112 were considered as potentially eligible. After full-text reading, 17 were included in the final analysis, together with 15 papers identified through hand-searching of reference lists. All of the 32 included publications were case reports or case series. Clinical manifestations of drug–drug interactions involving opioids were grouped as follows: 1) sedation and respiratory depression, 2) other central nervous system symptoms, 3) impairment of pain control and/or opioid withdrawal, and 4) other symptoms. The most common mechanisms eliciting drug–drug interactions were alteration of opioid metabolism by inhibiting the activity of cytochrome P450 3A4 and pharmacodynamic interactions due to the combined effect on opioid, dopaminergic, cholinergic, and serotonergic activity in the central nervous system. Conclusion Evidence for drug–drug interactions associated with opioids used for pain treatment in cancer patients is very limited. Still, the cases identified in this systematic review give some important suggestions for clinical practice. Physicians prescribing opioids should recognize the risk of drug–drug interactions and if possible avoid polypharmacy. PMID:26396499

  8. Clinically significant drug interactions among HIV-infected patients receiving antiretroviral therapy.

    PubMed

    So-Ngern, Apichot; Montakantikul, Preecha; Manosuthi, Weerawat

    2014-09-01

    We conducted a cross sectional study of the outpatient medical records of 1000 HIV-infected patients receiving antiretroviral therapy (ART) in 2011 to determine the incidence of clinically significant drug interactions (CSDI). The severities of the CSDI were graded following the Micromedex" 2.0 database and the Department of Health and Human Services (DHHS) 2012 HIV treatment guidelines. Three hundred thirty-five patients (34%) had 554 episodes of CSDI. Of which 337 episodes (61%), 163 episodes (29%) and 54 episodes (10%) had grades 2, 3 and 4 severity CSDI, respectively. The CSDI were caused by protease inhibitor (PI)-based drug regimens in 79%, by efavirenz-based regimens in 34% and by nevirapine-based regimens in 10% (p<0.001). The three most common grade 4 CSDI were: a PI with simvastatin (n=24), simvastatin with gemfibrozil (n=24) and didanosine with allopurinol (n=2). The three most common grade 3 CSDI were: a PI with a statin drug except simvastatin (n=56), fenofibrate with a statin drug (n=28) and amlodipine with simvastatin (n=14). On multivariate analysis, risk factors associated with CSDI were: receiving a PI-based regimen (OR 14.44; 95% CI: 9.10-22.88), having dyslipidemia (OR 3.94; 95% CI: 1.89-8.21), having >5 items prescribed at a time (OR 1.80; 95% CI: 1.23-2.63), seeing a doctor >4 times a year (OR 1.72; 95% CI: 1.20-2.46), having hypertension (OR 0.60; 95% CI: 0.37-0.98), having a duration of receiving ART of >5 years (OR 0.46; 95% CI: 0.28-0.77) and having a CD4 count of >200 cells/mm3 (OR 0.46; 95%CI: 0.26-0.84). CSDI were common among HIV-infected patients receiving ARV in our outpatient clinic. Patients having a low CD, count, having dyslipidemia, receiving PI-based ART, having a frequent number of visits per year and having a large number of items prescribed at each visit had a greater chance of a CSDI.

  9. Food and Drug Interactions.

    PubMed

    Choi, Jong Hwan; Ko, Chang Mann

    2017-01-01

    Natural foods and vegetal supplements have recently become increasingly popular for their roles in medicine and as staple foods. This has, however, led to the increased risk of interaction between prescribed drugs and the bioactive ingredients contained in these foods. These interactions range from pharmacokinetic interactions (absorption, distribution, metabolism, and excretion influencing blood levels of drugs) to pharmacodynamic interactions (drug effects). In a quantitative respect, these interactions occur mainly during metabolism. In addition to the systemic metabolism that occurs mainly in the liver, recent studies have focused on the metabolism in the gastrointestinal tract endothelium before absorption. Inhibition of metabolism causes an increase in the blood levels of drugs and could have adverse reactions. The food-drug interactions causing increased blood levels of drugs may have beneficial or detrimental therapeutic effects depending on the intensity and predictability of these interactions. It is therefore important to understand the potential interactions between foods and drugs should and the specific outcomes of such interactions.

  10. Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.

    PubMed

    Vilar, Santiago; Friedman, Carol; Hripcsak, George

    2017-02-17

    Drug-drug interactions (DDIs) constitute an important concern in drug development and postmarketing pharmacovigilance. They are considered the cause of many adverse drug effects exposing patients to higher risks and increasing public health system costs. Methods to follow-up and discover possible DDIs causing harm to the population are a primary aim of drug safety researchers. Here, we review different methodologies and recent advances using data mining to detect DDIs with impact on patients. We focus on data mining of different pharmacovigilance sources, such as the US Food and Drug Administration Adverse Event Reporting System and electronic health records from medical institutions, as well as on the diverse data mining studies that use narrative text available in the scientific biomedical literature and social media. We pay attention to the strengths but also further explain challenges related to these methods. Data mining has important applications in the analysis of DDIs showing the impact of the interactions as a cause of adverse effects, extracting interactions to create knowledge data sets and gold standards and in the discovery of novel and dangerous DDIs.

  11. Mechanism of an unusual, but clinically significant, digoxin-bupropion drug interaction.

    PubMed

    He, Jiake; Yu, Yang; Prasad, Bhagwat; Chen, Xijing; Unadkat, Jashvant D

    2014-07-01

    An unusual, but clinically significant, digoxin (DIG)-bupropion (BUP) drug interaction (DDI), in which BUP increased DIG renal clearance by 80% is reported. To investigate the mechanism(s) of this unusual DDI, first the effect of BUP, its circulating metabolites or their combination on [(3) H]-DIG transport by cells expressing human P-gp or human OATP4C1 was determined. Second, the study asked whether this DDI could be replicated in the rat so that it could be used to conduct mechanistic studies. Then, the effect of BUP and its rat metabolites on [(3) H]-DIG transport were tested by cells expressing rat Oatp4c1. Bupropion and its metabolites had no effect on human P-gp mediated transepithelial transport of [(3) H]-DIG. Bupropion and hydroxybupropion (HBUP) significantly stimulated H-OATP4C1 mediated transport of [(3) H]-DIG. In addition, BUP cocktail (BUP plus its metabolites) significantly increased the H-OATP4C1 mediated transport of [(3) H]-DIG, and partially reversed the inhibition by 100 µm DIG. However, erythro-hydrobupropion (EBUP) and threo-hydrobupropion (TBUP) did not affect the [(3) H]-DIG uptake by H-OATP4C1 cells. Bupropion administration significantly increased digoxin renal clearance in rats. Surprisingly, bupropion significantly inhibited r-Oatp4c1 mediated transport of [(3) H]-DIG at clinically relevant unbound plasma concentrations of BUP or those observed in the rat study, while HBUP or TBUP did not. These data support our hypothesis that at clinically relevant plasma concentrations, bupropion and its metabolites activate H-OATP4C1 mediated DIG tubular secretion, and could possibly explain the increase in digoxin renal clearance produced by bupropion. While bupropion increased digoxin renal clearance in the rat, it appeared to do so by inhibiting r-Oatp4c1-mediated digoxin renal reabsorption.

  12. Laboratory tests in the clinical risk management of potential drug-drug interactions: a cross-sectional study using drug-dispensing data from 100 Dutch community pharmacies.

    PubMed

    Geerts, Arjen F J; De Koning, Fred H P; De Smet, Peter A G M; Van Solinge, Wouter W; Egberts, Toine C G

    2009-01-01

    Patient safety and the life cycle of a drug are negatively influenced by the still increasing occurrence of potential drug-drug interactions (DDIs). Clinical risk management of potential DDIs is required in patients using drugs to influence the benefit-risk profile positively. Information about laboratory test results, in particular, may be useful in the assessment of potential DDIs for the individual patient. The objective of this study was to examine the frequency and nature of laboratory tests required for the assessment of the clinical relevance of potential DDIs in Dutch community pharmacies. In addition, the nature and clinical relevance of these potential DDIs is analysed. All patients from 100 Dutch community pharmacies using, according to dispensing information, two or more drugs concomitantly on a specified date (Wednesday, 4 April 2007), were included (n = 223,019). The anonymous dispensing data of the included patients were analysed against a list of DDIs requiring laboratory tests for the assessment of their clinical relevance. The number of patients at risk for these potential DDIs with severe adverse reactions was calculated. The frequency of potential DDIs requiring laboratory tests were stratified by age, sex and degree of polypharmacy. Of the included patients, 24.4% had one or more potential DDIs (n = 54,427). In 9.0% of the included patients, one or more laboratory tests for the assessment of clinical relevance of the potential DDI were required (n = 19,968). The frequency of DDIs requiring laboratory tests increased with increasing age and number of drugs, but was not related to sex. The most commonly required laboratory tests were for renal function (42.2%), electrolytes (20.1%) and coagulation (13.1%). The percentage of patients at risk for potential DDIs requiring laboratory tests with adverse reaction category F (serious, irrecoverable disablement or death) was 2.5%; category E (increased risk of failure of life-saving therapy) was 0

  13. How pre-marketing data can be used for predicting the weight of drug interactions in clinical practice.

    PubMed

    Caccia, Silvio; Pasina, Luca; Nobili, Alessandro

    2013-04-01

    Unexpected drug interactions have led to the withdrawal of many drugs, raising concern about the gap between what is known at the time of approval and the risk of serious effects in the longer term, particularly in high-risk populations generally excluded from drug development. This is because the majority of drug interaction studies are done using in vitro methods, or in healthy young volunteers who may not reflect the complexity of patients, and the settings in which the drug will be used in clinical practice. Pre-marketing interaction studies should therefore be designed to make information easily accessible and clinically transferable. They should be adequate in terms of sample size, population, comorbidity, phenotyping and/or genotyping, end-points and outcome measures, and conducted in conditions of dose, route and timing of co-administration that reproduce the proposed therapeutic indications of the new drug. Although young volunteers have the advantage of minimizing some confounding effects introduced by diseases or polypharmacy, patients drawn from populations for whom the drug is intended would be more relevant and accurate, providing the studies are feasible and safe.

  14. Drug-Drug Interactions in Headache Medicine.

    PubMed

    Ansari, Hossein; Ziad, Sanaz

    2016-07-01

    The main treatments in a majority of headache patients are pharmacologic therapies. As a result, it is imperative to have strong background in pharmacotherapy used to treat headaches in order to provide optimal therapy and avoid drug interactions. One of the main reasons for failure of pharmacologic treatment of headaches is drug-drug interactions (DDIs). While there are many distinct pathways and mechanisms in which DDIs can occur, most occur through alterations within the cytochrome P450 pathways (CYP). Drugs that cause induction, inhibition, or are simply substrates for these pathways are responsible for many of the DDIs. We review and discuss the important and potential DDIs of commonly used headache medication often encountered in clinical practice. We divide the drugs into two classes, abortive and preventive. Within each group we select the most commonly used drugs and provide a detailed discussion of the mechanisms of interaction for each. Also included are commonly used herbal supplements, which can interact with headache medications. Drug-drug-interactions are a major concern when developing a treatment regimen for patients suffering from headaches. There is a growing need for physician attention to the pharmacokinetics of drugs to improve the quality of patient care. It is vital that prescribing physicians be aware of the DDIs associated with the commonly prescribed headache medications to optimize patient care and therapy results. © 2016 American Headache Society.

  15. [Drug-drug interactions: interactions between xenobiotics].

    PubMed

    Haen, E

    2014-04-01

    Drug-drug interactions (DDI) are a major topic in programs for continuous medical education (CME). Many physicians are afraid of being trapped into charges of malpractice; however, DDI cannot be avoided in many cases. They belong to routine medical practice and it is often impossible to avoid them. Moreover, they do not just occur between drugs but between any kind of foreign substance (xenobiotica), such as food (e.g. grapefruit juice, broccoli, barbecue) as well as legal (e.g. tobacco smoke, caffeine and alcohol) and illegal drugs. Therefore, the medical challenge is not just to avoid any interaction. Instead the physician faces the question of how to proceed with drug treatment in the presence of such interactions. Based on the medical education a physician has to judge first of all whether there is a risk for interactions in the prescription being planned for an individual patient. The classification of interactions proposed in this article (PD1-PD4, PK1-PK3) might help as a sort of check list. For more detailed information the physician can then consult one of the many databases available on the internet, such as PSIAConline (http://www.psiac.de) and MediQ (http://www.mediq.ch). Pharmacokinetic interactions can be easily assessed, monitored and controlled by therapeutic drug monitoring (TDM). Besides these tools it is important to keep in mind that nobody knows everything; even physicians do not know everything. So take pride in asking someone who might help and for this purpose AGATE offers a drug information service AID (http://www.amuep-agate.de). Just good for nothing, without being based on any kind of medical approach are computer programs that judge prescriptions without taking into account a patient's individual peculiarities. In case these types of programs produce red exclamation marks or traffic lights to underline their judgment, they might even work in a contrapuntal way by just eliciting insecurity and fear.

  16. Drug interactions with herbal medicines.

    PubMed

    Shi, Shaojun; Klotz, Ulrich

    2012-02-01

    In recent years, the issue of herbal medicine-drug interactions has generated significant concern. Such interactions can increase the risk for an individual patient, especially with regard to drugs with a narrow therapeutic index (e.g. warfarin, ciclosporin and digoxin). The present article summarizes herbal medicine-drug interactions involving mainly inhibition or induction of cytochrome P450 enzymes and/or drug transporters. An increasing number of in vitro and animal studies, case reports and clinical trials evaluating such interactions have been reported, and the majority of the interactions may be difficult to predict. Potential pharmacodynamic and/or pharmacokinetic interactions of commonly used herbal medicines (black cohosh, garlic, Ginkgo, goldenseal, kava, milk thistle, Panax ginseng, Panax quinquefolius, saw palmetto and St John's wort) with conventional drugs are presented, and sometimes the results are contradictory. Clinical implications of herbal medicine-drug interactions depend on a variety of factors, such as the co-administered drugs, the patient characteristics, the origin of the herbal medicines, the composition of their constituents and the applied dosage regimens. To optimize the use of herbal medicines, further controlled studies are urgently needed to explore their potential for interactions with conventional drugs and to delineate the underlying mechanisms.

  17. Irreversible enzyme inhibition kinetics and drug-drug interactions.

    PubMed

    Mohutsky, Michael; Hall, Stephen D

    2014-01-01

    This chapter describes the types of irreversible inhibition of drug-metabolizing enzymes and the methods commonly employed to quantify the irreversible inhibition and subsequently predict the extent and time course of clinically important drug-drug interactions.

  18. Clinical Pharmacokinetic, Pharmacodynamic, and Drug-Drug Interaction Profile of Canagliflozin, a Sodium-Glucose Co-transporter 2 Inhibitor.

    PubMed

    Devineni, Damayanthi; Polidori, David

    2015-10-01

    The sodium-glucose co-transporter 2 (SGLT2) inhibitors represent novel therapeutic approaches in the management of type 2 diabetes mellitus; they act on kidneys to decrease the renal threshold for glucose (RTG) and increase urinary glucose excretion (UGE). Canagliflozin is an orally active, reversible, selective SGLT2 inhibitor. Orally administered canagliflozin is rapidly absorbed achieving peak plasma concentrations in 1-2 h. Dose-proportional systemic exposure to canagliflozin has been observed over a wide dose range (50-1600 mg) with an oral bioavailability of 65 %. Canagliflozin is glucuronidated into two inactive metabolites, M7 and M5 by uridine diphosphate-glucuronosyltransferase (UGT) 1A9 and UGT2B4, respectively. Canagliflozin reaches steady state in 4 days, and there is minimal accumulation observed after multiple dosing. Approximately 60 % and 33 % of the administered dose is excreted in the feces and urine, respectively. The half-life of orally administered canagliflozin 100 or 300 mg in healthy participants is 10.6 and 13.1 h, respectively. No clinically relevant differences are observed in canagliflozin exposure with respect to age, race, sex, and body weight. The pharmacokinetics of canagliflozin remains unaffected by mild or moderate hepatic impairment. Systemic exposure to canagliflozin is increased in patients with renal impairment relative to those with normal renal function; however, the efficacy is reduced in patients with renal impairment owing to the reduced filtered glucose load. Canagliflozin did not show clinically relevant drug interactions with metformin, glyburide, simvastatin, warfarin, hydrochlorothiazide, oral contraceptives, probenecid, and cyclosporine, while co-administration with rifampin modestly reduced canagliflozin plasma concentrations and thus may necessitate an appropriate monitoring of glycemic control. Canagliflozin increases UGE and suppresses RTG in a dose-dependent manner, thereby lowering the plasma glucose

  19. A clinically significant drug interaction between warfarin and amoxicillin resulting in persistent postoperative bleeding in a dental patient.

    PubMed

    Goodchild, Jason H; Donaldson, Mark

    2013-07-01

    One of the few cases reported in the literature, this article reviews the case of a 66-year-old man who developed an elevated international normalized ratio and sustained clinically significant bleeding as a result of a drug-drug interaction between warfarin and amoxicillin. Given the popularity of these medications, it is surprising that these reports are not more commonplace, and there is a concern that the lack of reports may result in practitioners overlooking the significance of this possible complication. Although the mechanism for this interaction is not fully known, it is suspected that a decrease in vitamin K-producing gut flora, with resulting vitamin K deficiency, is the most likely contributing factor. An objective causality assessment revealed that this adverse drug event, secondary to the warfarin and amoxicillin interaction, was probable.

  20. Drug interactions and the statins

    PubMed Central

    Herman, R J

    1999-01-01

    Drug interactions commonly occur in patients receiving treatment with multiple medications. Most interactions remain unrecognized because drugs, in general, have a wide margin of safety or because the extent of change in drug levels is small when compared with the variation normally seen in clinical therapy. All drug interactions have a pharmacokinetic or pharmacodynamic basis and are predictable given an understanding of the pharmacology of the drugs involved. Drugs most liable to pose problems are those having concentration-dependent toxicity within, or close to, the therapeutic range; those with steep dose-response curves; those having high first-pass metabolism or those with a single, inhibitable route of elimination. Knowing which drugs possess these intrinsic characteristics, together with a knowledge of hepatic P-450 metabolism and common enzyme-inducing and enzyme-inhibiting drugs, can greatly assist physicians in predicting interactions that may be clinically relevant. This article reviews the pharmacology of drug interactions that can occur with hydroxymethylglutaryl-coenzyme A (HMG-CoA) reductase inhibitors (statins) to illustrate the scope of the problem and the ways in which physicians may manage this important therapeutic class of drugs. PMID:10584091

  1. Health implications of drug interactions.

    PubMed

    Dukes, M N

    1990-01-01

    The awareness of the digoxin-quinidine interaction in the mid-70s led to increased interest in drug interactions. Much has been published on the subject in the form of interaction reports, handbooks, lists, cards, discs etc. However, only a few interactions in the literature have clinical significance and can be remembered by thinking in terms of groups, pharmacokinetics and probabilities. It is important to realise that drugs in a given class will have similar properties. Thus, phenylbutazone, like any other nonsteroidal anti-inflammatory drug (NSAID), is likely to potentiate the effects of warfarin. A knowledge of drug pharmacokinetics is also essential; a highly protein-bound drug may displace another when they are administered together. Remembering those drugs which induce liver enzyme formation will prevent their co-administration with drugs which have a critical dose-range. If a general practitioner can remember the few drugs in clinical practice with a narrow therapeutic index, he can consult a handbook before anything else is prescribed. Some interactions will rarely be encountered in daily general practice, i.e. those associated with tuberculosis treatment or anesthetic agents. Other interactions, e.g. the interaction between antihypertensive treatment and over-the-counter medication containing phenylpropanolamine, are more common. While most drug interactions can be avoided by thinking in terms of groups, pharmacokinetics and probabilities, some learning by rote is required, e.g. the potential for heart failure with concomitant beta-blocker and nifedipine therapy. In general, a schematic approach using thinking in terms of groups, pharmacokinetics and probabilities will prevent most clinically significant drug interactions; the rest can be avoided by consulting appropriate handbooks and specialists.

  2. Clinical pharmacokinetic, pharmacodynamic and drug-interaction profile of the integrase inhibitor dolutegravir.

    PubMed

    Cottrell, Mackenzie L; Hadzic, Tanja; Kashuba, Angela D M

    2013-11-01

    Dolutegravir is a second-generation integrase strand transfer inhibitor (INSTI) currently under review by the US Food and Drug Administration for marketing approval. The in vitro, protein-adjusted 90 % inhibitory concentration (IC90) of dolutegravir for wild-type virus is 0.064 μg/ml, and it retains in vitro anti-HIV 1 activity across a broad range of viral phenotypes that are known to confer resistance to the currently marketed INSTIs, raltegravir and elvitegravir. Dolutegravir has a terminal elimination half-life of 13-14 h and maintains concentrations over the in vitro, protein-adjusted IC90 for more than 30 h following a single dose. Additionally, dolutegravir has low inter-subject variability compared with raltegravir and elvitegravir. A plasma exposure-response relationship has been well described, with antiviral activity strongly correlating with trough concentrations. Phase III trials have assessed the antiviral activity of dolutegravir compared with efavirenz and raltegravir in antiretroviral (ARV)-naive patients and found that dolutegravir achieved more rapid and sustained virologic suppression in both instances. Additionally, studies of dolutegravir activity in patients with known INSTI-resistant mutations have been favourable, indicating that dolutegravir retains activity in a variety of INSTI-resistant phenotypes. Much like currently marketed INSTIs, dolutegravir is very well tolerated. Because dolutegravir inhibits the renal transporter organic cation transporter 2, reduced tubular secretion of creatinine leads to non-progressive increases in serum creatinine. These serum creatinine increases have not been associated with a decreased glomerular filtration rate or progressive renal impairment. Dolutegravir's major and minor metabolic pathways are uridine diphosphate glucuronosyltransferase 1A1 and cytochrome P450 (CYP)-3A4, respectively, and it neither induces nor inhibits CYP isoenzymes. Thus dolutegravir has a modest drug interaction profile

  3. Lack of clinically relevant drug–drug interactions when dalcetrapib is co-administered with ezetimibe

    PubMed Central

    Derks, Michael; Abt, Markus; Phelan, Mary

    2010-01-01

    AIMS Dalcetrapib, which targets cholesteryl ester transfer protein activity, is in development for prevention of cardiovascular events. Because dalcetrapib will likely be prescribed with other lipid-modifying therapies such as ezetimibe, a study was performed to investigate potential pharmacokinetic interactions between dalcetrapib and ezetimibe. Lipids changes and tolerability were secondary endpoints. METHODS Co-administration of dalcetrapib 900 mg (higher than the phase III dose) with ezetimibe was investigated in a three period, three treatment crossover study in healthy males: 7 days of dalcetrapib, 7 days of dalcetrapib plus ezetimibe, 7 days of ezetimibe alone. A full pharmacokinetic profile was performed on day 7 of each treatment. RESULTS Co-administration of dalcetrapib with ezetimibe was associated with minimal changes in dalcetrapib exposure compared with dalcetrapib alone. Least squares mean ratio (LSMR) (90% confidence interval) was 93.6 (87.1, 100.7) for AUC(0,24 h) and 99.0 (85.2, 115.0) for Cmax. Ezetimibe exposure was reduced with co-administration of ezetimibe with dalcetrapib compared with ezetimibe alone: LSMR 80.3 (74.6, 86.4) for AUC(0,24 h) and 88.9 (80.9, 99.9) for Cmax for total ezetimibe. High-density lipoprotein cholesterol increases associated with co-administration of dalcetrapib with ezetimibe (+29.8%) were comparable with those with dalcetrapib alone (+25.6%), while the reduction in low-density lipoprotein cholesterol with co-administration (−35.9%) was greater than with ezetimibe alone (−20.9%). Dalcetrapib was generally well tolerated when administered alone and when co-administered with ezetimibe. CONCLUSION Co-administration of dalcetrapib with ezetimibe was not associated with clinically significant changes in pharmacokinetic parameters or tolerability and did not diminish the lipid effects of either drug. PMID:21175438

  4. Predicting Drug-Target Interactions Using Drug-Drug Interactions

    PubMed Central

    Kim, Shinhyuk; Jin, Daeyong; Lee, Hyunju

    2013-01-01

    Computational methods for predicting drug-target interactions have become important in drug research because they can help to reduce the time, cost, and failure rates for developing new drugs. Recently, with the accumulation of drug-related data sets related to drug side effects and pharmacological data, it has became possible to predict potential drug-target interactions. In this study, we focus on drug-drug interactions (DDI), their adverse effects () and pharmacological information (), and investigate the relationship among chemical structures, side effects, and DDIs from several data sources. In this study, data from the STITCH database, from drugs.com, and drug-target pairs from ChEMBL and SIDER were first collected. Then, by applying two machine learning approaches, a support vector machine (SVM) and a kernel-based L1-norm regularized logistic regression (KL1LR), we showed that DDI is a promising feature in predicting drug-target interactions. Next, the accuracies of predicting drug-target interactions using DDI were compared to those obtained using the chemical structure and side effects based on the SVM and KL1LR approaches, showing that DDI was the data source contributing the most for predicting drug-target interactions. PMID:24278248

  5. [Clinically important food-drug interactions: what the practitioner needs to know].

    PubMed

    Corti, N; Taegtmeyer, A B

    2012-06-20

    Most medicines are taken with breakfast which is usually unproblematic and has the advantage of improving adherence through establishment of a daily routine. However, due to alterations in absorption from the gastrointestinal tract, there are a number of medicines that either lose (such as bisphosphonates) or gain (such as albendazole) efficacy if taken together with food. Food components can also affect drug-metabolising enzymes and even cause drug toxicity (alcohol and grapefruit juice are notable examples). Conversely, drugs such as monoamine oxidase inhibitors can inhibit the metabolism of tyramine in tyramine-rich foods and lead to adverse circulatory reactions. These and other examples of when the ingestion of medication together with food can cause clinically relevant problems are discussed in this article.

  6. [The drug-drug interactions in a psychiatric hospital].

    PubMed

    Kirilochev, O O; Umerova, A R; Dorfman, I P; Khryashchev, A V

    An analysis of 132 drugs used in a psychiatric hospital for the estimation of the possibility of drug-drug interactions has been carried out. It has been established that one in five potential combination has a drug-drug interaction with clinically significant interactions being more frequent. Psychotropic drugs occupy a leading position in the number of such interactions. This analysis is able to improve the safety of the combined pharmacotherapies by choosing an alternative drug, correction of dose or active monitoring of the clinical condition of the patient, including laboratory and instrumental data.

  7. Optimizing clopidogrel dose response: a new clinical algorithm comprising CYP2C19 pharmacogenetics and drug interactions

    PubMed Central

    Saab, Yolande B; Zeenny, Rony; Ramadan, Wijdan H

    2015-01-01

    Purpose Response to clopidogrel varies widely with nonresponse rates ranging from 4% to 30%. A reduced function of the gene variant of the CYP2C19 has been associated with lower drug metabolite levels, and hence diminished platelet inhibition. Drugs that alter CYP2C19 activity may also mimic genetic variants. The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. Method Clopidogrel dose optimization was analyzed based on two main parameters that affect clopidogrel metabolite area under the curve: different CYP2C19 genotypes and concomitant drug intake. Clopidogrel adjusted dose was computed based on area under the curve ratios for different CYP2C19 genotypes when a drug interacting with CYP2C19 is added to clopidogrel treatment. A clinical-pharmacogenetic algorithm was developed based on whether clopidogrel shows 1) expected effect as per indication, 2) little or no effect, or 3) clinical features that patients experience and fit with clopidogrel adverse drug reactions. Results The study results show that all patients under clopidogrel treatment, whose genotypes are different from *1*1, and concomitantly taking other drugs metabolized by CYP2C19 require clopidogrel dose adjustment. To get a therapeutic effect and avoid adverse drug reactions, therapeutic dose of 75 mg clopidogrel, for example, should be lowered to 6 mg or increased to 215 mg in patients with different genotypes. Conclusion The implementation of clopidogrel new algorithm has the potential to maximize the benefit of clopidogrel pharmacological therapy. Clinicians would be able to personalize treatment to enhance efficacy and limit toxicity. PMID:26445541

  8. Drug interactions with mitotane by induction of CYP3A4 metabolism in the clinical management of adrenocortical carcinoma.

    PubMed

    Kroiss, Matthias; Quinkler, Marcus; Lutz, Werner K; Allolio, Bruno; Fassnacht, Martin

    2011-11-01

    Mitotane [1-(2-chlorophenyl)-1-(4-chlorophenyl)-2,2-dichloroethane, (o,p'-DDD)] is the only drug approved for the treatment for adrenocortical carcinoma (ACC) and has also been used for various forms of glucocorticoid excess. Through still largely unknown mechanisms, mitotane inhibits adrenal steroid synthesis and adrenocortical cell proliferation. Mitotane increases hepatic metabolism of cortisol, and an increased replacement dose of glucocorticoids is standard of care during mitotane treatment. Recently, sunitinib, a multityrosine kinase inhibitor (TKI), has been found to be rapidly metabolized by CYP3A4 during mitotane treatment, indicating clinically relevant drug interactions with mitotane. We here summarize the current evidence concerning mitotane-induced changes in hepatic monooxygenase expression, list drugs potentially affected by mitotane-related CYP3A4 induction and suggest alternatives. For example, using standard doses of macrolide antibiotics is unlikely to reach sufficient plasma levels, making fluoroquinolones in many cases a superior choice. Similarly, statins such as simvastatin are metabolized by CYP3A4, whereas others like pravastatin are not. Importantly, in the past, several clinical trials using cytotoxic drugs but also targeted therapies in ACC yielded disappointing results. This lack of antineoplastic activity may be explained in part by insufficient drug exposure owing to enhanced drug metabolism induced by mitotane. Thus, induction of CYP3A4 by mitotane needs to be considered in the design of future clinical trials in ACC.

  9. Adverse Drug Interactions

    PubMed Central

    Becker, Daniel E.

    2011-01-01

    The potential for interactions with current medications should always be considered when administering or prescribing any drug. Considering the staggering number of drugs patients may be taking, this task can be daunting. Fortunately, drug classes employed in dental practice are relatively few in number and therapy is generally brief in duration. While this reduces the volume of potential interactions, there are still a significant number to be considered. This article will review basic principles of drug interactions and highlight those of greatest concern in dental practice. PMID:21410363

  10. Food and Drug Interactions

    PubMed Central

    Choi, Jong Hwan; Ko, Chang Mann

    2017-01-01

    Natural foods and vegetal supplements have recently become increasingly popular for their roles in medicine and as staple foods. This has, however, led to the increased risk of interaction between prescribed drugs and the bioactive ingredients contained in these foods. These interactions range from pharmacokinetic interactions (absorption, distribution, metabolism, and excretion influencing blood levels of drugs) to pharmacodynamic interactions (drug effects). In a quantitative respect, these interactions occur mainly during metabolism. In addition to the systemic metabolism that occurs mainly in the liver, recent studies have focused on the metabolism in the gastrointestinal tract endothelium before absorption. Inhibition of metabolism causes an increase in the blood levels of drugs and could have adverse reactions. The food-drug interactions causing increased blood levels of drugs may have beneficial or detrimental therapeutic effects depending on the intensity and predictability of these interactions. It is therefore important to understand the potential interactions between foods and drugs should and the specific outcomes of such interactions. PMID:28261555

  11. Drug Interaction and Pharmacist

    PubMed Central

    Ansari, JA

    2010-01-01

    The topic of drug–drug interactions has received a great deal of recent attention from the regulatory, scientific, and health care communities worldwide. Nonsteroidal anti-inflammatory drugs, antibiotics and, in particular, rifampin are common precipitant drugs prescribed in primary care practice. Drugs with a narrow therapeutic range or low therapeutic index are more likely to be the objects for serious drug interactions. Object drugs in common use include warfarin, fluoroquinolones, antiepileptic drugs, oral contraceptives, cisapride, and 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors. The pharmacist, along with the prescriber has a duty to ensure that patients are aware of the risk of side effects and a suitable course of action should they occur. With their detailed knowledge of medicine, pharmacists have the ability to relate unexpected symptoms experienced by patients to possible adverse effects of their drug therapy. PMID:21042495

  12. [Drug interactions and the elderly].

    PubMed

    Le Jeunne, C; Hugues, F C

    1995-01-01

    Elderly people are particularly at risk for drug interactions, for several reasons. They are the part of the population who consume the most drugs: over 75 years the mean number of drugs on a prescription is 5.6. As they suffer from various associated diseases, they see several medical specialists, each of them adding a new prescription to the others. Self-prescriptions complicate the problem because they are rarely mentioned. Changes in pharmacokinetics in the elderly tend to increase blood concentrations of drugs. Elderly people suffer from altered homeostatic mechanisms to compensate for adverse drug effects. As a whole, such individuals are more exposed to the side effects of drugs. The drugs most often involved in these interactions are diuretics, non-steroidal anti-inflammatory drugs, benzodiazepines, antiarrhythmics, cardiac glycosides, antihypertensive drugs, oral antidiabetics and antalgics. The clinical accidents most often occurring with these drug interactions are: malaise, orthostatic hypotension, loss of conciousness, amnesia, confusion, renal insufficiency, digestive problems. Since elderly people are less likely to recover easily, this problem of drug interaction should be looked for systematically.

  13. Clinical Pharmacokinetic, Pharmacodynamic and Drug-Interaction Profile of the Integrase Inhibitor Dolutegravir

    PubMed Central

    Cottrell, Mackenzie L.; Hadzic, Tanja

    2013-01-01

    Dolutegravir is a second generation integrase strand transfer inhibitor (INSTI) currently under review by the US FDA for marketing approval. Dolutegravir’s in vitro, protein adjusted 90% inhibitory concentration (IC90) for wild-type virus is 0.064 μg/ml, and it retains in vitro anti-HIV 1 activity across a broad range of viral phenotypes known to confer resistance to the currently marketed INSTIs, raltegravir and elvitegravir. Dolutegravir has a half-life (t½) of 13 to 14 hours and maintains concentrations over the in vitro, protein adjusted IC90 for more than 30 hours following a single dose. Additionally, dolutegravir has comparatively low intersubject variability compared to raltegravir and elvitegravir. A plasma exposure-response relationship has been well described, with antiviral activity strongly correlating to trough concentration (Ctrough) values. Phase III trials have assessed the antiviral activity of dolutegravir compared with efavirenz and raltegravir in antiretroviral (ARV)-naïve patients and found dolutegravir to achieve more rapid and sustained virologic suppression in both instances. Additionally, studies of dolutegravir activity in patients with known INSTI-resistant mutations have been favorable, indicating that dolutegravir retains activity in a variety of INSTI resistant phenotypes. Much like currently marketed INSTIs, dolutegravir is very well tolerated. Because dolutegravir inhibits the renal transporter, organic cation transporter (OCT) 2, reduced tubular secretion of creatinine leads to non-progressive increases in serum creatinine. These serum creatinine increases have not been associated with decreased glomerular filtration rate or progressive renal impairment. Dolutegravir’s major and minor metabolic pathways are UDP glucuronosyltransferase (UGT)1A1 and cytochrome (CYP)3A4, respectively, and it neither induces nor inhibits CYP isozymes. Thus dolutegravir has a modest drug interaction profile. However, antacids significantly

  14. [Hypolipidemic agents drug interactions: approach to establish and assess its clinical significance. Structured review].

    PubMed

    Franco, D; Henao, Y; Monsalve, M; Gutiérrez, F; Hincapie, J; Amariles, P

    2013-01-01

    Objetivo: Realizar una revisión estructurada sobre interacciones medicamentosas de los hipolipemiantes y valorar su relevancia clínica. Método: Revisión estructurada de interacciones medicamentosas con hipolipemiantes en humanos, en PubMed/Medline de artículos publicados sin restricción de idioma, con acceso a texto completo hasta junio 30 de 2012. La búsqueda se realizó con los siguientes terminos Mesh: Drug Interactions, Lipid Regulating Agents, Herb-Drug Interactions, Food-Drug Interactions y Hypolipidemic Agents (Pharmacological Action). La información se complementó con artículos considerados importantes. Por último, se utilizó un método para evaluar la relevancia clínica de la interacción, basado en la probabilidad de ocurrencia y en la gravedad del efecto de la interacción. Resultados: Se obtuvieron 849 publicaciones, de las cuales se seleccionaron 243 referencias, en las los que se identificaron 189 interacciones. De ellas 33 fueron valoradas como de riesgo muy alto (nivel 1) y 42 de riesgo alto (nivel 2), asociadas fundamentalmente al aumento del riesgo de rabdomiólisis. La inhibición enzimática de la CYP450 fue el mecanismo más común de las interacciones. Conclusiones. En los pacientes en tratamiento con hipolipemiantes, de las interacciones identificadas 60,3% (128/189) son clínicamente relevantes (riesgo muy alto o alto), asociadas principalmente a la aparición de rabdomiólisis. La mayoría de dichas interacciones son atribuidas al uso simultáneo de reconocidos inhibidores de la CYP3A4. Por ello, las estatinas metabolizadas por la CYP3A4 (simvastatina, lovastatina y atorvastatina) son las que más interacciones de relevancia clínica presentan.

  15. A combined model for predicting CYP3A4 clinical net drug-drug interaction based on CYP3A4 inhibition, inactivation, and induction determined in vitro.

    PubMed

    Fahmi, Odette A; Maurer, Tristan S; Kish, Mary; Cardenas, Edwin; Boldt, Sherri; Nettleton, David

    2008-08-01

    Although approaches to the prediction of drug-drug interactions (DDIs) arising via time-dependent inactivation have recently been developed, such approaches do not account for simple competitive inhibition or induction. Accordingly, these approaches do not provide accurate predictions of DDIs arising from simple competitive inhibition (e.g., ketoconazole) or induction of cytochromes P450 (e.g., phenytoin). In addition, methods that focus upon a single interaction mechanism are likely to yield misleading predictions in the face of mixed mechanisms (e.g., ritonavir). As such, we have developed a more comprehensive mathematical model that accounts for the simultaneous influences of competitive inhibition, time-dependent inactivation, and induction of CYP3A in both the liver and intestine to provide a net drug-drug interaction prediction in terms of area under the concentration-time curve ratio. This model provides a framework by which readily obtained in vitro values for competitive inhibition, time-dependent inactivation and induction for the precipitant compound as well as literature values for f(m) and F(G) for the object drug can be used to provide quantitative predictions of DDIs. Using this model, DDIs arising via inactivation (e.g., erythromycin) continue to be well predicted, whereas those arising via competitive inhibition (e.g., ketoconazole), induction (e.g., phenytoin), and mixed mechanisms (e.g., ritonavir) are also predicted within the ranges reported in the clinic. This comprehensive model quantitatively predicts clinical observations with reasonable accuracy and can be a valuable tool to evaluate candidate drugs and rationalize clinical DDIs.

  16. Rifampicin and anti-hypertensive drugs in chronic kidney disease: Pharmacokinetic interactions and their clinical impact

    PubMed Central

    Agrawal, A.; Agarwal, S. K.; Kaleekal, T.; Gupta, Y. K.

    2016-01-01

    Patients on dialysis have an increased incidence of tuberculosis (TB). Rifampicin, a first-line antitubercular therapy (ATT) drug, is a potent inducer of hepatic cytochrome P450 (CYP). There is potential for pharmacokinetic interaction between rifampicin and anti-hypertensives that are CYP substrates: amlodipine and metoprolol. Therefore, hypertensive patients receiving rifampicin-based ATT are at risk for worsening of hypertension. However, this hypothesis has not yet been systematically studied. In this prospective study, hypertensive CKD 5D patients with TB were followed after rifampicin initiation. Blood pressure (BP) was ≤140/90 mmHg with stable anti-HT requirement at inclusion. Serum amlodipine, metoprolol, and prazosin levels were estimated by high-performance liquid chromatography at baseline and 3, 7, 10, and 14 days after rifampicin initiation. BP and anti-HT requirement were monitored for 2 weeks or until stabilization. All 24 patients in the study had worsening of hypertension after rifampicin and 83.3% required increase in drugs to maintain BP <140/90 mmHg. Serial amlodipine levels were estimated in 16 patients; metoprolol and prazosin in four patients each. Drug levels declined by >50% in all patients and became undetectable in 50-75%. Drug requirement increased from 4.5 ± 3.6 to 8.5 ± 6.4 units (P < 0.0001). Mean time to first increase in dose was 6.5 ± 3.6 days. Eleven (46%) patients experienced a hypertensive crisis at 9.1 ± 3.8 days. Three of them had a hypertensive emergency with acute pulmonary edema. In two patients, rifampicin had to be discontinued to achieve BP control. In conclusion, rifampicin caused a significant decrease in blood levels of commonly used anti hypertensives. This decrease in levels correlated well with worsening of hypertension. Thus, we suggest very close BP monitoring in CKD patients after rifampicin initiation. PMID:27795624

  17. Application of CYP3A4 in vitro data to predict clinical drug–drug interactions; predictions of compounds as objects of interaction

    PubMed Central

    Youdim, Kuresh A; Zayed, Aref; Dickins, Maurice; Phipps, Alex; Griffiths, Michelle; Darekar, Amanda; Hyland, Ruth; Fahmi, Odette; Hurst, Susan; Plowchalk, David R; Cook, Jack; Guo, Feng; Obach, R Scott

    2008-01-01

    AIMS The aim of this study was to explore and optimize the in vitro and in silico approaches used for predicting clinical DDIs. A data set containing clinical information on the interaction of 20 Pfizer compounds with ketoconazole was used to assess the success of the techniques. METHODS The study calculated the fraction and the rate of metabolism of 20 Pfizer compounds via each cytochrome P450. Two approaches were used to determine fraction metabolized (fm); 1) by measuring substrate loss in human liver microsomes (HLM) in the presence and absence of specific chemical inhibitors and 2) by measuring substrate loss in individual cDNA expressed P450s (also referred to as recombinant P450s (rhCYP)) The fractions metabolized via each CYP were used to predict the drug–drug interaction due to CYP3A4 inhibition by ketoconazole using the modelling and simulation software SIMCYP®. RESULTS When in vitro data were generated using Gentest supersomes, 85% of predictions were within two-fold of the observed clinical interaction. Using PanVera baculosomes, 70% of predictions were predicted within two-fold. In contrast using chemical inhibitors the accuracy was lower, predicting only 37% of compounds within two-fold of the clinical value. Poorly predicted compounds were found to either be metabolically stable and/or have high microsomal protein binding. The use of equilibrium dialysis to generate accurate protein binding measurements was especially important for highly bound drugs. CONCLUSIONS The current study demonstrated that the use of rhCYPs with SIMCYP® provides a robust in vitro system for predicting the likelihood and magnitude of changes in clinical exposure of compounds as a consequence of CYP3A4 inhibition by a concomitantly administered drug. WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT Numerous retrospective analyses have shown the utility of in vitro systems for predicting potential drug–drug interactions (DDIs). Prediction of DDIs from in vitro data is commonly

  18. The Clinician's Approach to Drug Interactions

    PubMed Central

    Morrelli, Howard F.; Melmon, Kenneth L.

    1968-01-01

    Drug interactions are important causes of both unexpected toxic and therapeutic effects. Adverse reactions due to drug interaction are proportional to the number of drugs given and the duration of administration. Although drug interactions may be beneficial, they are most often recognized when they increase mortality or morbidity. The frequency of adverse drug interactions in clinical practice makes it mandatory for physicians to know the drugs and mechanisms involved. A drug may potentiate or antagonize the effects of another drug by direct chemical or physical combination, by altering gastrointestinal absorption, by influencing metabolism, transport, or renal clearance, by changing the activity of a drug at its receptor site, or by modifying the patient's response to the drug by a variety of means. This article stresses the importance of avoiding multible drug therapy. When such treatment is unavoidable, patients must be carefully observed for evidence of intensified or diminished drug effect. Only this permits the detection and prevention of untoward drug interactions. PMID:4881984

  19. Pharmacokinetic drug–drug interactions between 1,4-dihydropyridine calcium channel blockers and statins: factors determining interaction strength and relevant clinical risk management

    PubMed Central

    Zhou, Yi-Ting; Yu, Lu-Shan; Zeng, Su; Huang, Yu-Wen; Xu, Hui-Min; Zhou, Quan

    2014-01-01

    Background Coadministration of 1,4-dihydropyridine calcium channel blockers (DHP-CCBs) with statins (or 3-hydroxy-3-methylglutaryl-coenzyme A [HMG-CoA] reductase inhibitors) is common for patients with hypercholesterolemia and hypertension. To reduce the risk of myopathy, in 2011, the US Food and Drug Administration (FDA) Drug Safety Communication set a new dose limitation for simvastatin, for patients taking simvastatin concomitantly with amlodipine. However, there is no such dose limitation for atorvastatin for patients receiving amlodipine. The combination pill formulation of amlodipine/atorvastatin is available on the market. There been no systematic review of the pharmacokinetic drug–drug interaction (DDI) profile of DHP-CCBs with statins, the underlying mechanisms for DDIs of different degree, or the corresponding management of clinical risk. Methods The relevant literature was identified by performing a PubMed search, covering the period from January 1987 to September 2013. Studies in the field of drug metabolism and pharmacokinetics that described DDIs between DHP-CCB and statin or that directly compared the degree of DDIs associated with cytochrome P450 (CYP)3A4-metabolized statins or DHP-CCBs were included. The full text of each article was critically reviewed, and data interpretation was performed. Results There were three circumstances related to pharmacokinetic DDIs in the combined use of DHP-CCB and statin: 1) statin is comedicated as the precipitant drug (pravastatin–nimodipine and lovastatin–nicardipine); 2) statin is comedicated as the object drug (isradipine–lovastatin, lacidipine–simvastatin, amlodipine–simvastatin, benidipine-simvastatin, azelnidipine– simvastatin, lercanidipine–simvastatin, and amlodipine–atorvastatin); and 3) mutual interactions (lercanidipine–fluvastatin). Simvastatin has an extensive first-pass effect in the intestinal wall, whereas atorvastatin has a smaller intestinal first-pass effect. The interaction

  20. Drug*placebo interaction effect may bias clinical trials interpretation: hybrid balanced placebo and randomized placebo-controlled design.

    PubMed

    Hammami, Muhammad M; Hammami, Safa; Al-Swayeh, Reem; Al-Gaai, Eman; Farah, Faduma Abdi; De Padua, Sophia J S

    2016-11-29

    *hr, respectively. Total effect was larger than the sum of drug and placebo effects for drowsiness (139.7 (109.8 to 169.6) vs. 99.1 (68.2 to 130.0) mm*hr) and mouth-dryness (63.6 (41.1 to 86.1) vs. 34.7 (11.1 to 58.4) mm*hr). Conventionally estimated drug effect was larger than interaction model-estimated drug effect for drowsiness (69.2 (45.5 to 92.8) vs. (58.3 (31.6 to 85.0) mm*hr) and mouth-dryness (19.9 (5.3 to 34.5) vs. 9.5 (-9.2 to 28.1) mm*hr). There is significant and important drug*placebo interaction effect that may bias conventionally estimated drug effect. ClinicalTrial.gov identifier: NCT01501591 (registered December 25, 2011).

  1. Party pills and drug-drug interactions.

    PubMed

    Murphy, Meghan; Antia, Ushtana; Chang, Hsin-Yao; Han, Jae Young; Ibrahim, Ushtana; Tingle, Malcolm; Russell, Bruce

    2009-04-24

    This study aimed to explore the potential for drug-drug interactions involving benzylpiperazine (BZP) and trifluoromethylphenylpiperazine (TFMPP). This was achieved by determining the effects of BZP and TFMPP on the metabolism of drugs commonly found in the clinical setting by using pooled human liver microsomes. Incubations consisted of a probe substrate (drug of interest), a potential inhibitor (BZP or TFMPP), a suitable enzyme co-factor (NADPH), and pooled human liver microsomes. Loss of substrate was determined by analysing pre- and post-incubation concentrations in the samples by using HPLC/UV analysis. Both TFMPP and BZP were found to inhibit the metabolism of dextromethorphan, caffeine, and ethinyloestradiol. These are reported substrates of CYP2D6, CYP1A2, and CYP3A4 respectively. Greater enzyme inhibition was observed in TFMPP microsomal assays in comparison to those using BZP. The metabolism of omeprazole was not affected, suggesting that BZP and TFMPP do not have a significant inhibitory effect on CYP2C19. The inhibitory effects of BZP and TFMPP observed in this study are of potential significance to clinical practice because CYP2D6, CYP1A2, and CYP3A4 are involved in the metabolism of many commonly used drugs. Knowledge about the observed inhibitory effects will be a useful aid in preventing toxicity when drugs metabolised by these isoenzymes are taken with party pills.

  2. Induction of P-glycoprotein expression and activity by Aconitum alkaloids: Implication for clinical drug–drug interactions

    PubMed Central

    Wu, Jinjun; Lin, Na; Li, Fangyuan; Zhang, Guiyu; He, Shugui; Zhu, Yuanfeng; Ou, Rilan; Li, Na; Liu, Shuqiang; Feng, Lizhi; Liu, Liang; Liu, Zhongqiu; Lu, Linlin

    2016-01-01

    The Aconitum species, which mainly contain bioactive Aconitum alkaloids, are frequently administered concomitantly with other herbal medicines or chemical drugs in clinics. The potential risk of drug–drug interactions (DDIs) arising from co-administration of Aconitum alkaloids and other drugs against specific targets such as P-glycoprotein (P-gp) must be evaluated. This study focused on the effects of three representative Aconitum alkaloids: aconitine (AC), benzoylaconine (BAC), and aconine, on the expression and activity of P-gp. We observed that Aconitum alkaloids increased P-gp expression in LS174T and Caco-2 cells in the order AC > BAC > aconine. Nuclear receptors were involved in the induction of P-gp. AC and BAC increased the P-gp transport activity. Strikingly, intracellular ATP levels and mitochondrial mass also increased. Furthermore, exposure to AC decreased the toxicity of vincristine and doxorubicin towards the cells. In vivo, AC significantly up-regulated the P-gp protein levels in the jejunum, ileum, and colon of FVB mice, and protected them against acute AC toxicity. Taken together, the findings of our in vitro and in vivo experiments indicate that AC can induce P-gp expression, and that co-administration of AC with P-gp substrate drugs may cause DDIs. Our findings have important implications for Aconitum therapy in clinics. PMID:27139035

  3. Physician Perspectives of CYP2C19 and Clopidogrel Drug-Gene Interaction Active Clinical Decision Support Alerts

    PubMed Central

    Nishimura, Adam A.; Shirts, Brian H.; Salama, Joseph; Smith, Joe W.; Devine, Beth; Tarczy-Hornoch, Peter

    2015-01-01

    Objective To determine if physicians find clinical decision support alerts for pharmacogenomic drug-gene interactions useful and assess their perceptions of usability aspects that impact usefulness. Materials and Methods 52 physicians participated in an online simulation and questionnaire involving a prototype alert for the clopidogrel and CYP2C19 drug-gene interaction. Results Only 4% of participants stated they would override the alert. 92% agreed that the alerts were useful. 87% found the visual interface appropriate, 91% felt the timing of the alert was appropriate and 75% were unfamiliar with the specific drug-gene interaction. 80% of providers preferred the ability to order the recommended medication within the alert. Qualitative responses suggested that supplementary information is important, but should be provided as external links, and that the utility of pharmacogenomic alerts depends on the broader ecosystem of alerts. Principal Conclusions Pharmacogenomic alerts would be welcomed by many physicians, can be built with minimalist design principles, and are appropriately placed at the end of the prescribing process. Since many physicians lack familiarity with pharmacogenomics but have limited time, information and educational resources within the alert should be carefully selected and presented in concise ways. PMID:26642939

  4. Radiation and platinum drug interaction.

    PubMed

    Nias, A H

    1985-09-01

    Platinum drugs have chemical as well as biochemical and biological effects on cells, all of which may interact with radiation effects. They inhibit recovery from sublethal and potentially lethal radiation damage. They produce a pattern of chromosome aberrations analogous to that from alkylating agents. Cellular sensitivity to platinum is increased when glutathione levels are reduced, just as is radiosensitivity. There is a pattern of drug sensitivity throughout the phases of the cell cycle which is different from that for radiosensitivity. The ideal platinum drug-radiation interaction would achieve radiosensitization of hypoxic tumour cells with the use of a dose of drug which is completely non-toxic to normal tissues. Electron-affinic agents are employed with this aim, but the commoner platinum drugs are only weakly electron-affinic. They do have a quasi-alkylating action however, and this DNA targeting may account for the radiosensitizing effect which occurs with both pre- and post-radiation treatments. Because toxic drug dosage is usually required for this, the evidence of the biological responses to the drug and to the radiation, as well as to the combination, requires critical analysis before any claim of true enhancement, rather than simple additivity, can be accepted. The amount of enhancement will vary with both the platinum drug dose and the time interval between drug administration and radiation. Clinical schedules may produce an increase in tumour response and/or morbidity, depending upon such dose and time relationships.

  5. Herb-drug interactions.

    PubMed

    Fugh-Berman, A

    2000-01-08

    Concurrent use of herbs may mimic, magnify, or oppose the effect of drugs. Plausible cases of herb-drug interactions include: bleeding when warfarin is combined with ginkgo (Ginkgo biloba), garlic (Allium sativum), dong quai (Angelica sinensis), or danshen (Salvia miltiorrhiza); mild serotonin syndrome in patients who mix St John's wort (Hypericum perforatum) with serotonin-reuptake inhibitors; decreased bioavailability of digoxin, theophylline, cyclosporin, and phenprocoumon when these drugs are combined with St John's wort; induction of mania in depressed patients who mix antidepressants and Panax ginseng; exacerbation of extrapyramidal effects with neuroleptic drugs and betel nut (Areca catechu); increased risk of hypertension when tricyclic antidepressants are combined with yohimbine (Pausinystalia yohimbe); potentiation of oral and topical corticosteroids by liquorice (Glycyrrhiza glabra); decreased blood concentrations of prednisolone when taken with the Chinese herbal product xaio chai hu tang (sho-salko-to); and decreased concentrations of phenytoin when combined with the Ayurvedic syrup shankhapushpi. Anthranoid-containing plants (including senna [Cassia senna] and cascara [Rhamnus purshiana]) and soluble fibres (including guar gum and psyllium) can decrease the absorption of drugs. Many reports of herb-drug interactions are sketchy and lack laboratory analysis of suspect preparations. Health-care practitioners should caution patients against mixing herbs and pharmaceutical drugs.

  6. Prediction of Clinically Relevant Herb-Drug Clearance Interactions Using Sandwich-Cultured Human Hepatocytes: Schisandra spp. Case Study.

    PubMed

    Jackson, Jonathan P; Freeman, Kimberly M; Friley, Weslyn W; Herman, Ashley G; Black, Christopher B; Brouwer, Kenneth R; Roe, Amy L

    2017-09-01

    The Schisandraceae family is reported to have a range of pharmacological activities, including anti-inflammatory effects. As with all herbal preparations, extracts of Schisandra species are mixtures composed of >50 lignans, especially schizandrins, deoxyschizandrins, and gomisins. In China, Schisandra sphenanthera extract (SSE) is often coadministered with immunosuppressant treatment of transplant recipients. In cases of coadministration, the potential for herb-drug interactions (HDIs) increases. Clinical studies have been used to assess HDI potential of SSE. Results demonstrated that chronic SSE administration reduced midazolam (MDZ) clearance by 52% in healthy volunteers. Although clinical studies are definitive and considered the "gold standard," these studies are impractical for routine HDI assessments. Alternatively, in vitro strategies can be used to reduce the need for clinical studies. Transporter-certified sandwich-cultured human hepatocytes (SCHHs) provide a fully integrated hepatic cell system that maintains drug clearance pathways (metabolism and transport) and key regulatory pathways constitutive active/androstane receptor and pregnane X receptor (CAR/PXR) necessary for quantitative assessment of HDI potential. Mechanistic studies conducted in SCHHs demonstrated that SSE and the more commonly used dietary supplement Schisandra chinensis extract (SCE) inhibited CYP3A4/5-mediated metabolism and induced CYP3A4 mRNA in a dose-dependent manner. SSE and SCE reduced MDZ clearance to 0.577- and 0.599-fold of solvent control, respectively, in chronically exposed SCHHs. These in vitro results agreed with SSE clinical findings and predicted a similar in vivo HDI effect with SCE exposure. These findings support the use of an SCHH system that maintains transport, metabolic, and regulatory functionality for routine HDI assessments to predict clinically relevant clearance interactions. Copyright © 2017 by The Author(s).

  7. Drug interactions of lipid-altering drugs.

    PubMed

    Bays, H E; Dujovne, C A

    1998-11-01

    The use of lipid-altering drugs has been shown to reduce the progression of atherosclerotic lesions and reduce the risk of atherosclerotic events (such as myocardial infarction and stroke). In general, these lipid-altering drugs are well tolerated but there is the potential for drug interactions. For example, HMG-CoA reductase inhibitors may interact with macrolides, azalides, azole antifungals and cyclosporin. Resins (such as cholestyramine and colestipol) may impair the absorption of many concurrent medications. Fibrates have potential drug interactions with warfarin, furosemide (frusemide), oral hypoglycaemics and probenecid. Nicotinic acid (niacin) may have potential drug interactions with high dose aspirin (acetylsalicylic acid), uricosuric agents (such as sulfapyrazone) and alcohol (ethanol). Finally, probucol may have potential drug interactions with antidysrhythmics, tricyclic antidepressants and phenothiazines. In addition, lipid-altering drugs, used in combination, may have the potential for drug interactions, enhancing some of the risks of adverse effects, such as myositis and hepatotoxicity. Therefore, in order to use lipid-altering drugs in the most effective, and safest manner, it is important for the clinician to have an understanding of the mechanisms of potential drug interactions, which drug interactions may theoretically occur, and specifically, which spe cific drug interactions have already been described.

  8. Evaluation of CYP2B6 Induction and Prediction of Clinical Drug-Drug Interactions: Considerations from the IQ Consortium Induction Working Group-An Industry Perspective.

    PubMed

    Fahmi, Odette A; Shebley, Mohamad; Palamanda, Jairam; Sinz, Michael W; Ramsden, Diane; Einolf, Heidi J; Chen, Liangfu; Wang, Hongbing

    2016-10-01

    Drug-drug interactions (DDIs) due to CYP2B6 induction have recently gained prominence and clinical induction risk assessment is recommended by regulatory agencies. This work aimed to evaluate the potency of CYP2B6 versus CYP3A4 induction in vitro and from clinical studies and to assess the predictability of efavirenz versus bupropion as clinical probe substrates of CYP2B6 induction. The analysis indicates that the magnitude of CYP3A4 induction was higher than CYP2B6 both in vitro and in vivo. The magnitude of DDIs caused by induction could not be predicted for bupropion with static or dynamic models. On the other hand, the relative induction score, net effect, and physiologically based pharmacokinetics SimCYP models using efavirenz resulted in improved DDI predictions. Although bupropion and efavirenz have been used and are recommended by regulatory agencies as clinical CYP2B6 probe substrates for DDI studies, CYP3A4 contributes to the metabolism of both probes and is induced by all reference CYP2B6 inducers. Therefore, caution must be taken when interpreting clinical induction results because of the lack of selectivity of these probes. Although in vitro-in vivo extrapolation for efavirenz performed better than bupropion, interpretation of the clinical change in exposure is confounded by the coinduction of CYP2B6 and CYP3A4, as well as the increased contribution of CYP3A4 to efavirenz metabolism under induced conditions. Current methods and probe substrates preclude accurate prediction of CYP2B6 induction. Identification of a sensitive and selective clinical substrate for CYP2B6 (fraction metabolized > 0.9) is needed to improve in vitro-in vivo extrapolation for characterizing the potential for CYP2B6-mediated DDIs. Alternative strategies and a framework for evaluating the CYP2B6 induction risk are proposed.

  9. Use of immortalized human hepatocytes to predict the magnitude of clinical drug-drug interactions caused by CYP3A4 induction.

    PubMed

    Ripp, Sharon L; Mills, Jessica B; Fahmi, Odette A; Trevena, Kristen A; Liras, Jennifer L; Maurer, Tristan S; de Morais, Sonia M

    2006-10-01

    Cytochrome P4503A4 (CYP3A4) is the principal drug-metabolizing enzyme in human liver. Drug-drug interactions (DDIs) caused by induction of CYP3A4 can result in decreased exposure to coadministered drugs, with potential loss of efficacy. Immortalized hepatocytes (Fa2N-4 cells) have been proposed as a tool to identify CYP3A4 inducers. The purpose of the current studies was to characterize the effect of known inducers on CYP3A4 in Fa2N-4 cells, and to determine whether these in vitro data could reliably project the magnitude of DDIs caused by induction. Twenty-four compounds were chosen for these studies, based on previously published data using primary human hepatocytes. Eighteen compounds had been shown to be positive for induction, and six compounds had been shown to be negative for induction. In Fa2N-4 cells, all 18 positive controls produced greater than 2-fold maximal CYP3A4 induction, and all 6 negative controls produced less than 1.5-fold maximal CYP3A4 induction. Subsequent studies were conducted to determine the relationship between in vitro induction data and in vivo induction response. The approach was to relate in vitro induction data (E(max) and EC(50) values) with efficacious free plasma concentrations to calculate a relative induction score. This score was then correlated with decreases in area under the plasma concentration versus time curve values for coadministered CYP3A4 object drugs (midazolam or ethinylestradiol) from previously published clinical DDI studies. Excellent correlations (r(2) values >0.92) were obtained, suggesting that Fa2N-4 cells can be used for identification of inducers as well as prediction of the magnitude of clinical DDIs.

  10. Intestinal transporters for endogenic and pharmaceutical organic anions: the challenges of deriving in-vitro kinetic parameters for the prediction of clinically relevant drug-drug interactions.

    PubMed

    Grandvuinet, Anne Sophie; Vestergaard, Henrik Tang; Rapin, Nicolas; Steffansen, Bente

    2012-11-01

    This review provides an overview of intestinal human transporters for organic anions and stresses the need for standardization of the various in-vitro methods presently employed in drug-drug interaction (DDI) investigations. Current knowledge on the intestinal expression of the apical sodium-dependent bile acid transporter (ASBT), the breast cancer resistance protein (BCRP), the monocarboxylate transporters (MCT) 1, MCT3-5, the multidrug resistance associated proteins (MRP) 1-6, the organic anion transporting polypetides (OATP) 2B1, 1A2, 3A1 and 4A1, and the organic solute transporter α/β (OSTα/β) has been covered along with an overview of their substrates and inhibitors. Furthermore, the many challenges in predicting clinically relevant DDIs from in-vitro studies have been discussed with focus on intestinal transporters and the various methods for deducting in-vitro parameters for transporters (K(m) /K(i) /IC50, efflux ratio). The applicability of using a cut-off value (estimated based on the intestinal drug concentration divided by the K(i) or IC50) has also been considered. A re-evaluation of the current approaches for the prediction of DDIs is necessary when considering the involvement of other transporters than P-glycoprotein. Moreover, the interplay between various processes that a drug is subject to in-vivo such as translocation by several transporters and dissolution should be considered. © 2012 The Authors. JPP © 2012 Royal Pharmaceutical Society.

  11. [Importance of drug interactions with smoking in modern drug research].

    PubMed

    Laki, Szilvia; Kalapos-Kovács, Bernadett; Antal, István; Klebovich, Imre

    2013-01-01

    Drug interaction is a process during which a drug's fate in the body or its pharmacological properties are altered by an influencing factor. The extent of the drug interaction's effect can vary. The interaction could result from the modulation by another drug, food, alcohol, caffeine, narcotics, a drug influencing absorption or smoking. Moreover, transporter interactions with smoking could also have a major impact on many drug's efficacy. Clinically relevant drug interactions with smoking were classified in terms of their effect: pharmacokinetic, pharmacodynamic and transporter interactions. Policyclic aromatic carbohydrates, found in cigarette smoke, have enzyme inducing properties. The interaction affects mainly the hepatic isoenzyme CYP1A2. Interactions caused by smoking have an effect on all drugs being substrates of and therefore metabolised by CYP1A2. Pharmacokinetic alteration can also occur during the absorption, distribution and elimination process. The pharmacodynamic interactions are mainly caused by the effects of nicotine, a cigarette smoke component. Through interactions, smoking could also modify the activity of transporter proteins, altering this way the ADME properties of many drugs. Since smoking is one of the deadliest artefact in the history of human civilisation, identifying drug interactions with smoking is the physician's and pharmacist's major responsibility and task. Moreover, it is necessary to identify the patient's smoking habits during a medical treatment. This review aims to investigate the main types of drug interactions (PK/PD), identify factors influencing the activity of CYP enzymes and transporters, and also summarize the mechanisms of the most important drug interactions with smoking and their clinically relevant consequences (Table II-VI.). Drugs, with effects somehow altered by smoking-interactions, have been studied.

  12. Drug–drug interaction profile of components of a fixed combination of netupitant and palonosetron: Review of clinical data

    PubMed Central

    Spinelli, Tulla; Calcagnile, Selma; Lanzarotti, Corinna; Rossi, Giorgia; Cox, David; Kashef, Kimia

    2015-01-01

    Neurokinin-1 (NK1) receptor antagonists (RAs) are commonly coadministered with serotonin (5-HT3) RAs (e.g. palonosetron (PALO)) to prevent chemotherapy-induced nausea/vomiting. Netupitant/palonosetron (NEPA), an oral fixed combination of netupitant (NETU)—a new NK1 RA—and PALO, is currently under development. In vitro data suggest that NETU inhibits CYP3A4 and is a substrate for and weak inhibitor of P-glycoprotein (P-gp). This review evaluates potential drug–drug interactions between NETU or NEPA and CYP3A4 substrates/inducers/inhibitors or P-gp substrates in healthy subjects. Pharmacokinetic (PK) parameters were evaluated for each drug when NETU was coadministered with PALO (single doses) and when single doses of NETU or NEPA were coadministered with CYP3A4 substrates (erythromycin (ERY), midazolam (MID), dexamethasone (DEX), or oral contraceptives), inhibitors (ketoconazole (KETO)), or inducers (rifampicin (RIF)), or a P-gp substrate (digoxin (DIG)). Results showed no relevant PK interactions between NETU and PALO. Coadministration of NETU increased MID and ERY exposure and significantly increased DEX exposure in a dose-dependent manner; NETU exposure was unaffected. NEPA coadministration had no clinically significant effect on oral contraception, although levonorgestrel exposure increased. NETU exposure increased after coadministration of NEPA with KETO and decreased after coadministration with RIF; PALO exposure was unaffected. NETU coadministration did not influence DIG exposure. In conclusion, there were no clinically relevant interactions between NETU and PALO, or NEPA and oral contraceptives (based on levonorgestrel and ethinylestradiol exposure). Coadministration of NETU or NEPA with CYP3A4 inducers/inhibitors/substrates should be done with caution. Dose reduction is recommended for DEX. Dose adjustments are not needed for NETU coadministration with P-gp substrates. PMID:25998320

  13. Text mining for drug-drug interaction.

    PubMed

    Wu, Heng-Yi; Chiang, Chien-Wei; Li, Lang

    2014-01-01

    In order to understand the mechanisms of drug-drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases.To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis.The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions.

  14. [Implementation of ontology-based clinical decision support system for management of interactions between antihypertensive drugs and diet].

    PubMed

    Park, Jeong Eun; Kim, Hwa Sun; Chang, Min Jung; Hong, Hae Sook

    2014-06-01

    The influence of dietary composition on blood pressure is an important subject in healthcare. Interactions between antihypertensive drugs and diet (IBADD) is the most important factor in the management of hypertension. It is therefore essential to support healthcare providers' decision making role in active and continuous interaction control in hypertension management. The aim of this study was to implement an ontology-based clinical decision support system (CDSS) for IBADD management (IBADDM). We considered the concepts of antihypertensive drugs and foods, and focused on the interchangeability between the database and the CDSS when providing tailored information. An ontology-based CDSS for IBADDM was implemented in eight phases: (1) determining the domain and scope of ontology, (2) reviewing existing ontology, (3) extracting and defining the concepts, (4) assigning relationships between concepts, (5) creating a conceptual map with CmapTools, (6) selecting upper ontology, (7) formally representing the ontology with Protégé (ver.4.3), (8) implementing an ontology-based CDSS as a JAVA prototype application. We extracted 5,926 concepts, 15 properties, and formally represented them using Protégé. An ontology-based CDSS for IBADDM was implemented and the evaluation score was 4.60 out of 5. We endeavored to map functions of a CDSS and implement an ontology-based CDSS for IBADDM.

  15. An apparent clinical pharmacokinetic drug-drug interaction between bevacizumab and the anti-placental growth factor monoclonal antibody RO5323441 via a target-trapping mechanism.

    PubMed

    Wang, Ka; Stark, Franziska Schaedeli; Schlothauer, Tilman; Lahr, Angelika; Cosson, Valerie; Zhi, Jianguo; Habben, Kai; Tessier, Jean; Schick, Eginhard; Staack, Roland F; Krieter, Oliver

    2017-04-01

    RO5323441 is a humanized anti-placental growth factor (PlGF) monoclonal antibody that has shown preclinical activity in several cancer models. The objective of this analysis is to examine the pharmacokinetic (PK) results from four Phase I studies that have been conducted with RO5323441 (n = 61) and to report an apparent drug-drug interaction observed when RO5323441 was administered in combination with bevacizumab. The four Phase I studies were a multiple-ascending dose study in 23 patients with solid tumors (Study 1), an open-label study in seven patients with colorectal/ovarian cancer (Study 2), a sorafenib combination study in nine patients with hepatocellular carcinoma (Study 3), and a bevacizumab combination study in 22 patients with recurrent glioblastoma (Study 4). A two-compartment linear population PK model was developed from these four studies to characterize the PK of RO5323441 in patients with cancer. The PK properties of RO5323441 were similar in the first three studies. However, substantially higher RO5323441 exposures were observed in Study 4 when RO5323441 was administered in combination with bevacizumab. A linear two-compartmental population PK model indicated that the co-administration of bevacizumab would decrease the clearance of RO5323441 by 53%. Clinical data suggested that the decrease in RO5323441 clearance was inversely associated with bevacizumab exposure. The exact reason for the increase in RO5323441 exposure following bevacizumab co-administration is not currently known. One possibility is a drug-drug interaction via a target-trapping mechanism that is mediated by the vascular endothelial growth factor receptor-1 (VEGFR-1).

  16. Application of Static Models to Predict Midazolam Clinical Interactions in the Presence of Single or Multiple Hepatitis C Virus Drugs.

    PubMed

    Cheng, Yaofeng; Ma, Li; Chang, Shu-Ying; Humphreys, W Griffith; Li, Wenying

    2016-08-01

    Asunaprevir (ASV), daclatasvir (DCV), and beclabuvir (BCV) are three drugs developed for the treatment of chronic hepatitis C virus infection. Here, we evaluated the CYP3A4 induction potential of each drug, as well as BCV-M1 (the major metabolite of BCV), in human hepatocytes by measuring CYP3A4 mRNA alteration. The induction responses were quantified as induction fold (mRNA fold change) and induction increase (mRNA fold increase), and then fitted with four nonlinear regression algorithms. Reversible inhibition and time-dependent inhibition (TDI) on CYP3A4 activity were determined to predict net drug-drug interactions (DDIs). All four compounds were CYP3A4 inducers and inhibitors, with ASV demonstrating TDI. The curve-fitting results demonstrated that fold increase is a better assessment to determine kinetic parameters for compounds inducing weak responses. By summing the contribution of each inducer, the basic static model was able to correctly predict the potential for a clinically meaningful induction signal for single or multiple perpetrators, but with over prediction of the magnitude. With the same approach, the mechanistic static model improved the prediction accuracy of DCV and BCV when including both induction and inhibition effects, but incorrectly predicted the net DDI effects for ASV alone or triple combinations. The predictions of ASV or the triple combination could be improved by only including the induction and reversible inhibition but not the ASV CYP3A4 TDI component. Those results demonstrated that static models can be applied as a tool to help project the DDI risk of multiple perpetrators using in vitro data.

  17. Relevance of in vitro and clinical data for predicting CYP3A4-mediated herb-drug interactions in cancer patients.

    PubMed

    Goey, Andrew K L; Mooiman, Kim D; Beijnen, Jos H; Schellens, Jan H M; Meijerman, Irma

    2013-11-01

    The use of complementary and alternative medicines (CAM) by cancer patients is increasing. Concomitant use of CAM and anticancer drugs could lead to serious safety issues in patients. CAM have the potential to cause pharmacokinetic interactions with anticancer drugs, leading to either increased or decreased plasma levels of anticancer drugs. This could result in unexpected toxicities or a reduced efficacy. Significant pharmacokinetic interactions have already been shown between St. John's Wort (SJW) and the anticancer drugs imatinib and irinotecan. Most pharmacokinetic CAM-drug interactions, involve drug metabolizing cytochrome P450 (CYP) enzymes, in particular CYP3A4. The effect of CAM on CYP3A4 activity and expression can be assessed in vitro. However, no data have been reported yet regarding the relevance of these in vitro data for the prediction of CAM-anticancer drug interactions in clinical practice. To address this issue, a literature research was performed to evaluate the relevance of in vitro data to predict clinical effects of CAM frequently used by cancer patients: SJW, milk thistle, garlic and Panax ginseng (P. ginseng). Furthermore, in clinical studies the sensitive CYP3A4 substrate probe midazolam is often used to determine pharmacokinetic interactions. Results of these clinical studies with midazolam are used to predict pharmacokinetic interactions with other drugs metabolized by CYP3A4. Therefore, this review also explored whether clinical trials with midazolam are useful to predict clinical pharmacokinetic CAM-anticancer drug interactions. In vitro data of SJW have shown CYP3A4 inhibition after short-term exposure and induction after long-term exposure. In clinical studies using midazolam or anticancer drugs (irinotecan and imatinib) as known CYP3A4 substrates in combination with SJW, decreased plasma levels of these drugs were observed, which was expected as a consequence of CYP3A4 induction. For garlic, no effect on CYP3A4 has been shown in vitro

  18. [Drug interactions with grapefruit].

    PubMed

    Bojanić, Zoran Z; Bojanić, Novica Z; Bojanić, Vladmila V

    2010-01-01

    The concentration of many orally given medications may be affected by grapefruit or grapefruit juice consumption. It may result in numerous harmful effects. Taking only one cup of juice may induce interactions with different drugs even during the period of a few days. The effect is induced by suppression of cytochrome P450 isoenzyme CYP3A4 in the intestinal wall. The Latin name of grapefruit, Citrus paradisi, is quite opposite to the effects which could be induced by taking grapefruit and some medications at the same time. It is necessary to avoid taking grapefruit with the drugs whose pharmacokinetics could be altered by the active principles found in that fruit. The coloured grapefruit contains less furanocoumarins, but there is no difference in induction and intensity of pharmacokinetic interaction with drugs related to its colour. Other citrus fruits (orange, lemon) do not have such effects, but some other fruits (pomegranate, stella fruit, banpeiyu, hassaku, takaoka-buntan and kinkan) exert inhibitory effects on the activity of cytochrome P450 isoenzyme.

  19. Drugging Membrane Protein Interactions

    PubMed Central

    Yin, Hang; Flynn, Aaron D.

    2016-01-01

    The majority of therapeutics target membrane proteins, accessible on the surface of cells, to alter cellular signaling. Cells use membrane proteins to transduce signals into cells, transport ions and molecules, bind the cell to a surface or substrate, and catalyze reactions. Newly devised technologies allow us to drug conventionally “undruggable” regions of membrane proteins, enabling modulation of protein–protein, protein–lipid, and protein–nucleic acid interactions. In this review, we survey the state of the art in high-throughput screening and rational design in drug discovery, and we evaluate the advances in biological understanding and technological capacity that will drive pharmacotherapy forward against unorthodox membrane protein targets. PMID:26863923

  20. Interaction between phencyclidine (PCP) and GABA-ergic drugs: clinical implications.

    PubMed

    Menon, M K; Clark, W G; Vivonia, C

    1980-01-01

    Pretreatment (IP) of mice with (-) baclofen, muscimol, 4,5,6,7-tetrahydroisoxazolo (S,4-c) pyridin-3-ol hydrate (THIP), aminooxyacetic acid (AOAA) or gamma-acetylenic GABA caused a dose-dependent inhibition of thelocomotor stimulant effect of phencyclidine (PCP, 8 mg/kg). Although (-) baclofen was found to be the most effective PCP antagonist, its (+) isomer was inactive. The maximum blocking effect of AOAA was seen in animals treated 3 and 6 hr earlier. Except for gamma-acetylenic GABA, none of these drugs significantly blocked the locomotor stimulant effect of d-amphetamine (3 mg/kg, IP). Diazepam reduced d-amphetamine response, but failed to influence PCP-induced stimulation. The locomotor stimulant effect of PCP, unlike that of d-amphetamine, may be the result of a specific GABA antagonistic effect at certain dopamine-rich areas of the brain. It seems that (-) baclofen may prove to be useful in the management of PCP intoxication. Administration of higher doses of PCP (20 and 50 mg/kg) in mice pretreated with (-) baclofen resulted in the development of surgical anesthesia manifested as the loss of a) righting reflex, b) pain sensation and c) corneal reflex. The duration of the general anesthetic response was found to be a function of the doses of both (-) baclofen and PCP. The possible use of (-) baclofen as an adjuvant to general anesthetic is discussed.

  1. Time-dependent inhibition and estimation of CYP3A clinical pharmacokinetic drug-drug interactions using plated human cell systems.

    PubMed

    Albaugh, Daniel R; Fullenwider, Cody L; Fisher, Michael B; Hutzler, J Matthew

    2012-07-01

    The current studies assessed the utility of freshly plated hepatocytes, cryopreserved plated hepatocytes, and cryopreserved plated HepaRG cells for the estimation of inactivation parameters k(inact) and K(I) for CYP3A. This was achieved using a subset of CYP3A time-dependent inhibitors (fluoxetine, verapamil, clarithromycin, troleandomycin, and mibefradil) representing a range of potencies. The estimated k(inact) and K(I) values for each time-dependent inhibitor were compared with those obtained using human liver microsomes and used to estimate the magnitude of clinical pharmacokinetic drug-drug interaction (DDI). The inactivation kinetic parameter, k(inact), was most consistent across systems tested for clarithromycin, verapamil, and troleandomycin, with a high k(inact) of 0.91 min(-1) observed for mibefradil in HepaRG cells. The apparent K(I) estimates derived from the various systems displayed a range of variability from 3-fold for clarithromycin (5.4-17.7 μM) to 6-fold for verapamil (1.9-12.6 μM). In general, the inactivation kinetic parameters derived from the cell systems tested fairly replicated what was observed in time-dependent inhibition studies using human liver microsomes. Despite some of the observed differences in inactivation kinetic parameters, the estimated DDIs derived from each of the tested systems generally agreed with the clinically reported DDI within approximately 2-fold. In addition, a plated cell approach offered the ability to conduct longer primary incubations (greater than 30 min), which afforded improved ability to identify the weak time-dependent inhibitor fluoxetine. Overall, results from these studies suggest that in vitro inactivation parameters generated from plated cell systems may be a practical approach for identifying time-dependent inhibitors and for estimating the magnitude of clinical DDIs.

  2. Lack of clinically relevant drug-drug interaction between empagliflozin, a sodium glucose cotransporter 2 inhibitor, and verapamil, ramipril, or digoxin in healthy volunteers.

    PubMed

    Macha, Sreeraj; Sennewald, Regina; Rose, Peter; Schoene, Katja; Pinnetti, Sabine; Woerle, Hans J; Broedl, Uli C

    2013-03-01

    Empagliflozin is a sodium glucose cotransporter 2 inhibitor in clinical development as a treatment for type 2 diabetes mellitus. The goal of this study was to investigate potential drug-drug interactions between empagliflozin and verapamil, ramipril, and digoxin in healthy volunteers. The potential drug-drug interactions were evaluated in 3 separate trials. In the first study, 16 subjects were randomized to receive single-dose empagliflozin 25 mg alone or single-dose empagliflozin 25 mg with single-dose verapamil 120 mg. In the second study, 23 subjects were randomized to receive empagliflozin 25 mg once daily (QD) for 5 days, ramipril (2.5 mg on day 1 then 5 mg QD on days 2-5) for 5 days or empagliflozin 25 mg with ramipril (2.5 mg on day 1 then 5 mg QD on days 2-5) for 5 days. In the third study, 20 subjects were randomized to receive single-dose digoxin 0.5 mg alone or empagliflozin 25 mg QD for 8 days with single-dose digoxin 0.5 mg on day 5. Exposure of empagliflozin was not affected by coadministration with verapamil (AUC0-∞: geometric mean ratio [GMR], 102.95%; 90% CI, 98.87-107.20; Cmax: GMR, 92.39%; 90% CI, 85.38-99.97) or ramipril (AUC over a uniform dosing interval τ at steady state [AUCτ,ss]: GMR, 96.55%; 90% CI, 93.05-100.18; Cmax at steady state [Cmax,ss]: GMR, 104.47%; 90% CI 97.65-111.77). Empagliflozin had no clinically relevant effect on exposure of ramipril (AUCτ,ss: GMR, 108.14%; 90% CI 100.51-116.35; Cmax,ss: GMR, 103.61%; 90% CI, 89.73-119.64) or its active metabolite ramiprilat (AUCτ,ss: GMR, 98.67%; 90% CI, 96.00-101.42; Cmax,ss: GMR, 98.29%; 90% CI, 92.67-104.25). Coadministration of empagliflozin had no clinically meaningful effect on digoxin AUC0-∞ (GMR, 106.11%; 90% CI, 96.71-116.41); however, a slight increase in Cmax was observed that was not considered clinically relevant (GMR, 113.94%; 90% CI, 99.33-130.70). All treatments were well tolerated. There were no serious adverse events or adverse events leading to discontinuation

  3. Drug-drug interactions: antiretroviral drugs and recreational drugs.

    PubMed

    Staltari, Orietta; Leporini, Christian; Caroleo, Benedetto; Russo, Emilio; Siniscalchi, Antonio; De Sarro, Giovambattista; Gallelli, Luca

    2014-01-01

    With the advances in antiretroviral (ARV) therapy, patients with Human Immunodeficiency Virus (HIV) infection are living longer, however, some patients encounter co- morbidities which sometimes require treatment. Therefore, during the treatment with ARV drugs these patients could take several recreational drugs (e.g. amphetamines, hallucinogenes, opiates, or alcohol) with a possible development of drug-drug interactions (DDIs). In particular, Nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs/NtRTIs) are mainly excreted through the kidney and are not substrates of the cytochrome P450 or P-glycoprotein, therefore the DDIs during this treatment are minimal. In contrast, the other ARV drugs (i.e. non-nucleoside reversetranscriptase inhibitors, Protease inhibitors, Integrase inhibitors, chemokine receptor 5 antagonists and HIV-fusion inhibitors) are an important class of antiretroviral medications that are frequent components of HAART regimens but show several DDIs related to interaction with the cytochrome P450 or P-glycoprotein. In this paper we will review data concerning the possibility of DDI in HIV patients treated with ARV and taking recreational drugs.

  4. The efficacy and safety of direct acting antiviral treatment and clinical significance of drug-drug interactions in elderly patients with chronic hepatitis C virus infection.

    PubMed

    Vermehren, J; Peiffer, K-H; Welsch, C; Grammatikos, G; Welker, M-W; Weiler, N; Zeuzem, S; Welzel, T M; Sarrazin, C

    2016-10-01

    Direct antiviral therapies for chronic hepatitis C virus (HCV) infection have expanded treatment options for neglected patient populations, including elderly patients who are ineligible/intolerant to receive interferon (IFN)-based therapy. To investigate the efficacy, tolerability and potential for drug-drug interactions (DDIs) of IFN-free treatment in patients aged ≥65 years in a large real-world cohort. A total of 541 patients were treated with different combinations of direct antiviral agents (DAAs: ledipasvir/sofosbuvir ±ribavirin; daclatasvir/sofosbuvir ±ribavirin; paritaprevir/ombitasvir ±dasabuvir ±ribavirin or simeprevir/sofosbuvir ±ribavirin in genotype 1/4, and daclatasvir/sofosbuvir ±ribavirin or sofosbuvir/ribavirin in genotype 2/3). Efficacy, safety and potential DDIs were analysed and compared between patients aged <65 years (n = 404) and patients aged ≥65 years (n = 137) of whom 41 patients were ≥75 years. Sustained virological response rates were 98% and 91% in patients aged ≥65 years and <65 years, respectively. Elderly patients took significantly more concomitant medications (79% vs. 51%; P < 0.0001). The number of concomitant drugs per patient was highest in patients ≥65 years with cirrhosis (median, three per patient; range, 0-10). Based on the hep-druginteractions database, the proportion of predicted clinically significant DDIs was significantly higher in elderly patients (54% vs. 28%; P < 0.0001). The number of patients who experienced treatment-associated adverse events was similar between the two age groups (63% vs. 65%; P = n.s.). Elderly patients are at increased risk for significant DDIs when treated with DAAs for chronic HCV infection. However, with careful pre-treatment assessment of concomitant medications, on-treatment monitoring or dose-modifications, significant DDIs and associated adverse events can be avoided. © 2016 John Wiley & Sons Ltd.

  5. Coproporphyrins in Plasma and Urine Can Be Appropriate Clinical Biomarkers to Recapitulate Drug-Drug Interactions Mediated by Organic Anion Transporting Polypeptide Inhibition.

    PubMed

    Lai, Yurong; Mandlekar, Sandhya; Shen, Hong; Holenarsipur, Vinay K; Langish, Robert; Rajanna, Prabhakar; Murugesan, Senthilkumar; Gaud, Nilesh; Selvam, Sabariya; Date, Onkar; Cheng, Yaofeng; Shipkova, Petia; Dai, Jun; Humphreys, William G; Marathe, Punit

    2016-09-01

    In the present study, an open-label, three-treatment, three-period clinical study of rosuvastatin (RSV) and rifampicin (RIF) when administered alone and in combination was conducted in 12 male healthy subjects to determine if coproporphyrin I (CP-I) and coproporphyrin III (CP-III) could serve as clinical biomarkers for organic anion transporting polypeptide 1B1 (OATP1B1) and 1B3 that belong to the solute carrier organic anion gene subfamily. Genotyping of the human OATP1B1 gene was performed in all 12 subjects and confirmed absence of OATP1B1*5 and OATP1B1*15 mutations. Average plasma concentrations of CP-I and CP-III prior to drug administration were 0.91 ± 0.21 and 0.15 ± 0.04 nM, respectively, with minimum fluctuation over the three periods. CP-I was passively eliminated, whereas CP-III was actively secreted from urine. Administration of RSV caused no significant changes in the plasma and urinary profiles of CP-I and CP-III. RIF markedly increased the maximum plasma concentration (Cmax) of CP-I and CP-III by 5.7- and 5.4-fold (RIF) or 5.7- and 6.5-fold (RIF+RSV), respectively, as compared with the predose values. The area under the plasma concentration curves from time 0 to 24 h (AUC0-24h) of CP-I and CP-III with RIF and RSV increased by 4.0- and 3.3-fold, respectively, when compared with RSV alone. In agreement with this finding, Cmax and AUC0-24h of RSV increased by 13.2- and 5.0-fold, respectively, when RIF was coadministered. Collectively, we conclude that CP-I and CP-III in plasma and urine can be appropriate endogenous biomarkers specifically and reliably reflecting OATP inhibition, and thus the measurement of these molecules can serve as a useful tool to assess OATP drug-drug interaction liabilities in early clinical studies.

  6. Evaluation of resources for analyzing drug interactions*†

    PubMed Central

    Patel, Risha I.; Beckett, Robert D.

    2016-01-01

    Objective The research sought to evaluate seven drug information resources, specifically designed for analyzing drug interactions for scope, completeness, and ease of use, and determine the consistency of content among the seven resources. Methods A cross-sectional study was conducted where 100 drug-drug and drug-dietary supplement interactions were analyzed using 7 drug information resources: Lexicomp Interactions module, Micromedex Drug Interactions, Clinical Pharmacology Drug Interaction Report, Facts & Comparisons eAnswers, Stockley's Drug Interactions (10th edition), Drug Interactions Analysis and Management (2014), and Drug Interaction Facts (2015). The interaction sample was developed based on published resources and peer input. Two independent reviewers gathered data for each interaction from each of the 7 resources using a common form. Results Eighty-two drug-drug and 18 drug-dietary supplement interactions were analyzed. Scope scores were higher for Lexicomp Interactions (97.0%), Clinical Pharmacology Drug Interaction Report (97.0%), and Micromedex Drug Interactions (93.0%) compared to all other resources (p<0.05 for each comparison). Overall completeness scores were higher for Micromedex Drug Interactions (median 5, interquartile range [IQR] 4 to 5) compared to all other resources (p<0.01 for each comparison) and were higher for Lexicomp Interactions (median 4, IQR 4 to 5), Facts & Comparisons eAnswers (median 4, IQR 4 to 5), and Drug Interaction Facts (4, IQR 4 to 5) compared to all other resources, except Micromedex (p<0.05 for each comparison). Ease of use, in terms of time to locate information and time to gather information, was similar among resources. Consistency score was higher for Micromedex (69.9%) compared to all other resources (p<0.05 for each comparison). Conclusions Clinical Pharmacology Drug Interaction Report, Lexicomp Interactions, and Micromedex Drug Interactions scored highest in scope. Micromedex Drug Interactions and Lexicomp

  7. A clinical therapeutic protein drug–drug interaction study: coadministration of denosumab and midazolam in postmenopausal women with osteoporosis

    PubMed Central

    Jang, Graham; Kaufman, Allegra; Lee, Edward; Hamilton, Lisa; Hutton, Shauna; Egbuna, Ogo; Padhi, Desmond

    2014-01-01

    Drug–disease interactions involving therapeutic proteins that target cytokines and potentially impact cytochrome P450 (CYP) enzymes have been of increased interest to drug regulatory agencies and industry sponsors in recent years. This parallel-group open-label study evaluated the effects of the monoclonal antibody denosumab, an inhibitor of the cytokine RANKL, on the pharmacokinetics of the probe CYP3A4 substrate midazolam in postmenopausal women with osteoporosis. The pharmacokinetics of a 2 mg oral dose of midazolam was evaluated on days 1 and 16. Subjects in Group A received a 60 mg subcutaneous dose of denosumab on day 2, 2 weeks before the second midazolam dose, while subjects in Group B did not. For Group A (n = 17), point estimates for the ratio of least square means for midazolam exposures based on maximum observed plasma concentration (Cmax) and areas under the plasma concentration–time curve (AUCs) on day 16 versus day 1 ranged from 1.02 to 1.04 and 90% confidence intervals were within 0.80–1.25. No period effect was observed for Group B (n = 8). Midazolam and denosumab coadministration was safe and well tolerated. Inhibition of the cytokine RANKL by denosumab does not affect CYP3A4 in postmenopausal women with osteoporosis and will not alter the pharmacokinetics of drugs metabolized by this enzyme. These results are consistent with data suggesting that RANKL does not impact markers of inflammation and represent the first clinical data demonstrating a lack of effect on CYP3A4 of a therapeutic protein that is a cytokine modulator. PMID:25505582

  8. Botanical-drug interactions: a scientific perspective.

    PubMed

    de Lima Toccafondo Vieira, Manuela; Huang, Shiew-Mei

    2012-09-01

    There is a continued predisposition of concurrent use of drugs and botanical products. A general lack of knowledge of the interaction potential together with an under-reporting of botanical use poses a challenge for the health care providers and a safety concern for patients. Botanical-drug interactions increase the patient risk, especially with regard to drugs with a narrow therapeutic index (e.g., warfarin, cyclosporine, and digoxin). Examples of case reports and clinical studies evaluating botanical-drug interactions of commonly used botanicals in the US are presented. The potential pharmacokinetic and pharmacodynamic bases of such interactions are discussed, as well as the challenges associated with the interpretation of the available data and prediction of botanical-drug interactions. Recent FDA experiences with botanical products and interactions including labeling implications as a risk management strategy are highlighted. Georg Thieme Verlag KG Stuttgart · New York.

  9. Drug interactions with oral sulphonylurea hypoglycaemic drugs.

    PubMed

    Hansen, J M; Christensen, L K

    1977-01-01

    The effect of the oral sulphonylurea hypoglycaemic drugs may be influenced by a large number of other drugs. Some of these combinations (e.g. phenylbutazone, sulphaphenazole) may result in cases of severe hypoglycaemic collapse. Tolbutamide and chlorpropamide should never be given to a patient without a prior careful check of which medicaments are already being given. Similarly, no drug should be given to a diabetic treated with tolbutamide and chlorpropamide without consideration of the possibility of interaction phenomena.

  10. Drug-drug plasma protein binding interactions of ivacaftor.

    PubMed

    Schneider, Elena K; Huang, Johnny X; Carbone, Vincenzo; Baker, Mark; Azad, Mohammad A K; Cooper, Matthew A; Li, Jian; Velkov, Tony

    2015-06-01

    Ivacaftor is a novel cystic fibrosis (CF) transmembrane conductance regulator (CFTR) potentiator that improves the pulmonary function for patients with CF bearing a G551D CFTR-protein mutation. Because ivacaftor is highly bound (>97%) to plasma proteins, there is the strong possibility that co-administered CF drugs may compete for the same plasma protein binding sites and impact the free drug concentration. This, in turn, could lead to drastic changes in the in vivo efficacy of ivacaftor and therapeutic outcomes. This biochemical study compares the binding affinity of ivacaftor and co-administered CF drugs for human serum albumin (HSA) and α1 -acid glycoprotein (AGP) using surface plasmon resonance and fluorimetric binding assays that measure the displacement of site-selective probes. Because of their ability to strongly compete for the ivacaftor binding sites on HSA and AGP, drug-drug interactions between ivacaftor are to be expected with ducosate, montelukast, ibuprofen, dicloxacillin, omeprazole, and loratadine. The significance of these plasma protein drug-drug interactions is also interpreted in terms of molecular docking simulations. This in vitro study provides valuable insights into the plasma protein drug-drug interactions of ivacaftor with co-administered CF drugs. The data may prove useful in future clinical trials for a staggered treatment that aims to maximize the effective free drug concentration and clinical efficacy of ivacaftor.

  11. Frequency and clinical relevance of potential cytochrome P450 drug interactions in a psychiatric patient population - an analysis based on German insurance claims data.

    PubMed

    Ostermann, Julia K; Berghöfer, Anne; Andersohn, Frank; Fischer, Felix

    2016-09-08

    Numerous drugs used in the treatment of psychiatric disorders are substrates of cytochrome P450 enzymes and are potential candidates for drug-drug interactions (DDIs). Claims data of a German statutory health insurance company from severely mentally ill patients who registered in an integrated care contract from August 2004 to December 2009 were analysed. We measured time periods of concomitant prescription of drugs that have been reported to interact via cytochrome P450, with a focus on drugs acting as strong inhibitors. Such drug-drug exposure (DDE) is an incontrovertible precursor of DDIs. We assessed whether potential DDIs were considered clinically relevant based on the prescribing information of the respective drugs. Among all 1221 patients, 186 patients (15.2 %; Clopper-Pearson 95 % confidence interval (CI): 13.3-17.4 %) had at least one DDE prescription, and 58 patients (4.8 %; 95 % CI 3.6-6.1) had at least one DDE prescription involving a strong cytochrome P450 inhibitor. In 59 patients, (4.8 %; 95 % CI: 3.7-6.2 %) five or more DDEs were identified, and five or more DDEs with a strong inhibitor were identified in 18 patients (1.5 %; 95 % CI: 0.9-2.3). The rates of DDEs were 0.27 (Garwood 95%CI: 0.25-0.28) per person-year and 0.07 (95 % CI: 0.07-0.08) for strong-inhibitor DDEs. Four of the ten most frequent DDEs were identified as clinically relevant, and seven of the eight most frequent DDEs involving a strong inhibitor were clinically relevant. The number of patients with DDEs was not alarmingly high in our sample. Nevertheless, prescription information showed that some prescribed drug combinations could result in serious adverse consequences that are known to weaken or strengthen the effect of the drugs and should therefore be avoided.

  12. Enterprise-wide drug-drug interaction alerting system.

    PubMed

    Greim, Julie A; Shek, Caroline; Jones, Linda; Macauley, Robert; Paterno, Marilyn; Blumenfeld, Barry H; Kuperman, Gilad

    2003-01-01

    According to the Institute of Medicine's (IOM) 1999 report To Err is Human: Building a safer Health System, "medical errors kill some 44,000-98,0001 people in U.S. hospitals each year. Partners HealthCare System (PHS) is a large integrated delivery network in Boston, MA, which has as a goal improving patient care by preventing adverse drug events (ADE) and reducing medication errors enterprise-wide. PHS has developed a drug-drug Interaction (DDI) detection feature, for the suite of clinical applications currently used by its two major teaching institutions, Brigham & Women's Hospital (BWH) and Mass General Hospital (MGH). The following clinical applications will be using this drug-drug interaction feature: NICU Order Entry (OE) at BWH, MGH OE for pediatrics and adults, the Partners outpatient medical record, The LMR, and BICS OE at BWH.

  13. Comparison of different algorithms for predicting clinical drug-drug interactions, based on the use of CYP3A4 in vitro data: predictions of compounds as precipitants of interaction.

    PubMed

    Fahmi, Odette A; Hurst, Susan; Plowchalk, David; Cook, Jack; Guo, Feng; Youdim, Kuresh; Dickins, Maurice; Phipps, Alex; Darekar, Amanda; Hyland, Ruth; Obach, R Scott

    2009-08-01

    Cytochrome P450 3A4 (CYP3A4) is the most important enzyme in drug metabolism and because it is the most frequent target for pharmacokinetic drug-drug interactions (DDIs) it is highly desirable to be able to predict CYP3A4-based DDIs from in vitro data. In this study, the prediction of clinical DDIs for 30 drugs on the pharmacokinetics of midazolam, a probe substrate for CYP3A4, was done using in vitro inhibition, inactivation, and induction data. Two DDI prediction approaches were used, which account for effects at both the liver and intestine. The first was a model that simultaneously combines reversible inhibition, time-dependent inactivation, and induction data with static estimates of relevant in vivo concentrations of the precipitant drug to provide point estimates of the average magnitude of change in midazolam exposure. This model yielded a success rate of 88% in discerning DDIs with a mean -fold error of 1.74. The second model was a computational physiologically based pharmacokinetic model that uses dynamic estimates of in vivo concentrations of the precipitant drug and accounts for interindividual variability among the population (Simcyp). This model yielded success rates of 88 and 90% (for "steady-state" and "time-based" approaches, respectively) and mean -fold errors of 1.59 and 1.47. From these findings it can be concluded that in vivo DDIs for CYP3A4 can be predicted from in vitro data, even when more than one biochemical phenomenon occurs simultaneously.

  14. Perhaps More Consideration of Pavlovian–Operant Interaction May Improve the Clinical Efficacy of Behaviorally Based Drug Treatment Programs

    PubMed Central

    Troisi, Joseph R.

    2014-01-01

    Drug abuse remains costly. Drug-related cues can evoke cue-reactivity and craving, contributing to relapse. The Pavlovian extinction-based cue-exposure therapy (CET) has not been very successful in treating drug abuse. A functional operant analysis of complex rituals involved in CET is outlined and reinterpreted as an operant heterogeneous chain maintained by observing responses, conditioned reinforcers, and discriminative stimuli. It is further noted that operant functions are not predicated on Pavlovian processes but can be influenced by them in contributing to relapse; several empirical studies from the animal and human literature highlight this view. Cue-reactivity evoked by Pavlovian processes is conceptualized as an operant establishing/motivating operation. CET may be more effective in incorporating an operant-based approach that takes into account the complexity of Pavlovian–operant interaction. Extinction of the operant chain coupled with the shaping of alternative behaviors is proposed as an integrated therapy. It is proposed that operant-based drug abuse treatments (contingency management, voucher programs, and the therapeutic work environment) might consider incorporating cue-reactivity, as establishing/motivating operations, to increase long-term success—a hybrid approach based on Pavlovian–operant interaction. PMID:25346551

  15. Investigational small-molecule drug selectively suppresses constitutive CYP2B6 activity at the gene transcription level: physiologically based pharmacokinetic model assessment of clinical drug interaction risk.

    PubMed

    Zamek-Gliszczynski, Maciej J; Mohutsky, Michael A; Rehmel, Jessica L F; Ke, Alice B

    2014-06-01

    The glycogen synthase kinase-3 inhibitor LY2090314 specifically impaired CYP2B6 activity during in vitro evaluation of cytochrome P450 (P450) enzyme induction in human hepatocytes. CYP2B6 catalytic activity was significantly decreased following 3-day incubation with 0.1-10 μM LY2090314, on average by 64.3% ± 5.0% at 10 μM. These levels of LY2090314 exposure were not cytotoxic to hepatocytes and did not reduce CYP1A2 and CYP3A activities. LY2090314 was not a time-dependent CYP2B6 inhibitor, did not otherwise inhibit enzyme activity at concentrations ≤10 μM, and was not metabolized by CYP2B6. Thus, mechanism-based inactivation or other direct interaction with the enzyme could not explain the observed reduction in CYP2B6 activity. Instead, LY2090314 significantly reduced CYP2B6 mRNA levels (Imax = 61.9% ± 1.4%; IC50 = 0.049 ± 0.043 μM), which were significantly correlated with catalytic activity (r(2) = 0.87, slope = 0.77; Imax = 57.0% ± 10.8%, IC50 = 0.057 ± 0.027 μM). Direct inhibition of constitutive androstane receptor by LY2090314 is conceptually consistent with the observed CYP2B6 transcriptional suppression (Imax = 100.0% ± 10.8% and 57.1% ± 2.4%; IC50 = 2.5 ± 1.2 and 2.1 ± 0.4 μM for isoforms 1 and 3, respectively) and may be sufficiently extensive to overcome the weak but potent activation of pregnane X receptor by ≤10 μM LY2090314 (19.3% ± 2.2% of maximal rifampin response, apparent EC50 = 1.2 ± 1.1 nM). The clinical relevance of these findings was evaluated through physiologically based pharmacokinetic model simulations. CYP2B6 suppression by LY2090314 is not expected clinically, with a projected <1% decrease in hepatic enzyme activity and <1% decrease in hydroxybupropion exposure following bupropion coadministration. However, simulations showed that observed CYP2B6 suppression could be clinically relevant for a drug with different pharmacokinetic properties from LY2090314.

  16. Studies of food drug interactions.

    PubMed

    Aman, Syed Faisal; Hassan, Fouzia; Naqvi, Baqar S; Hasan, Syed Muhammmad Farid

    2010-07-01

    Medicines can treat and alleviate many diseases provided that they must be taken properly to ensure that they are safe and useful. One issue related with the medicines is that whether to take on empty stomach or with food. The present work gives information regarding food-drug interactions that were studied by collecting seventy five prescriptions from various hospitals. In most of the collected prescriptions, food-drug interactions were detected using the literature available. It was also found that only few studies have been carried out so far on the effect of food on drug disposition in the Asian population. Thus more studies on food-drug interactions particularly in the local population is recommended in order to determine the effect of food and food components on drug disposition and to the kinetics of the drugs which has not yet well highlighted in this part of the world.

  17. Important drug interactions in patients with rheumatic disorders: interactions of glucocorticoids, immunosuppressants and antimalarial drugs.

    PubMed

    Hromadkova, L; Soukup, T; Vlcek, J

    2012-08-01

    Despite the fact that biological treatments are very promising, classical immunosuppressants, antimalarial drugs and glucocorticosteroids are still very important and widely used in practice. Although drug interactions can have fatal consequences, few studies have reviewed drug interactions of these classical drugs used in rheumatology, and very few guidelines are available on this subject. Therefore, this report summarizes important interactions of immunosuppressants, antimalarial drugs and glucocorticosteroids with drugs commonly used in internal medicine. In the present study, more than 300 interactions were retrieved from the Micromedex ® database. The selection was reduced to the interactions rated as moderate, major or contraindicated. The selected interactions were further checked against PubMed ®, MEDLINE ®, InfoPharm Compendium of Drug Interactions and Summaries of Product Characteristics. For each interaction, its nature, mechanism, onset and clinical severity were indicated, documentation quality was rated and recommendations for clinical practice were formulated. Twenty significant interactions that we rated as moderate, severe and very severe were identified. Interacting drugs were warfarin, fluoroquinolones, azole antifungals, co-trimoxazole, proton pump inhibitors, amiodarone, cholestyramine, activated carbon, allopurinol, angiotensin-converting enzyme inhibitors, statins, digoxin, iron, aluminium and magnesium salts, and hepatotoxic and nephrotoxic agents.

  18. Drug-drug interactions between clopidogrel and novel cardiovascular drugs.

    PubMed

    Pelliccia, Francesco; Rollini, Fabiana; Marazzi, Giuseppe; Greco, Cesare; Gaudio, Carlo; Angiolillo, Dominick J

    2015-10-15

    The combination of aspirin and the thienopyridine clopidogrel is a cornerstone in the prevention of atherothrombotic events. These two agents act in concert to ameliorate the prothrombotic processes stimulated by plaque rupture and vessel injury complicating cardiovascular disease. Guidelines recommend the use of clopidogrel in patients with acute coronary syndromes and in those undergoing percutaneous coronary intervention, and the drug remains the most utilized P2Y12 receptor inhibitor despite the fact that newer antiplatelet agents are now available. In recent years, numerous studies have shown inconsistency in the efficacy of clopidogrel to prevent atherothrombotic events. Studies of platelet function testing have shown variability in the response to clopidogrel. One of the major reason for this phenomenon lies in the interaction between clopidogrel and other drugs that may affect clopidogrel absorption, metabolism, and ultimately its antiplatelet action. Importantly, these drug-drug interactions have prognostic implications, since patients with high on-treatment platelet reactivity associated with reduced clopidogrel metabolism have an increased risk of ischemia. Previous systematic reviews have focused on drug-drug interactions between clopidogrel and specific pharmacologic classes, such as proton pump inhibitors, calcium channel blockers, and statins. However, more recent pieces of scientific evidence show that clopidogrel may also interact with newer drugs that are now available for the treatment of cardiovascular patients. Accordingly, the aim of this review is to highlight and discuss recent data on drug-drug interactions between clopidogrel and third-generation proton pump inhibitors, pantoprazole and lansoprazole, statins, pitavastatin, and antianginal drug, ranolazine.

  19. Can vaccines interact with drug metabolism?

    PubMed

    Pellegrino, Paolo; Clementi, Emilio; Capuano, Annalisa; Radice, Sonia

    2015-02-01

    Vaccines are safe and efficacious in reducing the burden of several serious infections affecting children and adults. Due to their efficacy, vaccines are often administered in patients with chronic diseases, likely to be under poly-therapy. Because of several case reports indicating changes in drug metabolism after vaccination, the hypothesis of an interaction between vaccines and specific drugs has been put forward. These interactions are conceivably of great concern, especially in patients treated with molecules characterised by a narrow therapeutic index. Herein, we review and systematise the available evidence on vaccine-drug interactions. The picture that emerges indicates that reduction in the activity of specific CYPs following vaccination may occur, most likely via interferon γ overproduction, and for specific drugs such as anticonvulsivant and theophylline may have significant clinical relevance. Clinical interaction between vaccines and drugs that are metabolised by cytochromes uninfluenced by INFγ levels, such as warfarin, are instead unlikely to happen. Further studies are however needed to gain a complete picture of vaccine-drug interactions and define their relevance in terms of possible negative clinical impact.

  20. Drug-mineral interactions

    SciTech Connect

    Kramer, L.

    1986-03-01

    The effect of drugs such as glucocorticoids and thyroid extract on calcium metabolism is unknown. However, several other medications affect the excretion and intestinal absorption of calcium. A controlled study was carried out to investigate these aspects. Urinary calcium was determined for 3 months during the long-term intake of the antituberculous drug isoniazid (INH) and of the antibiotic tetracycline. The effect of the diuretics furosemide and hydrochlorothiazide, of several aluminum-containing antacids, of thyroid extract and of corticosteroids was also studied. Metabolic balances of calcium, phosphorus, magnesium and zinc were determined, as well as the intestinal absorption of calcium using Ca 47. Plasma levels, urinary and fecal excretions of Ca 47 were determined. All drugs tested increased urinary calcium except for the diuretic hydrochlorothiazide. Regarding the effect of corticosteroids: the intestinal absorption of calcium was unchanged after the short-term use and was very high after long-term use. The studies have shown that several commonly used drugs induce an increase in urinary calcium excretion which may contribute to calcium loss, if this increase persists for prolonged periods of time. Urinary excretions of phosphorus, magnesium and zinc increased in some of the studies.

  1. Drug Interactions in Childhood Cancer

    PubMed Central

    Haidar, Cyrine; Jeha, Sima

    2016-01-01

    Children with cancer are increasingly benefiting from novel therapeutic strategies and advances in supportive care, as reflected in improvements in both their survival and quality of life. However, the continuous emergence of new oncology drugs and supportive care agents has also increased the possibility of deleterious drug interactions and healthcare providers need to practice extreme caution when combining medications. In this review, we discuss the most common interactions of chemotherapeutic agents with supportive care drugs such as anticonvulsants, antiemetics, uric acid–lowering agents, acid suppressants, antimicrobials, and pain management medications in pediatric oncology patients. As chemotherapy agents interact not only with medications but also with foods and herbal supplements that patients receive during the course of their treatment, we also briefly review such interactions and provide recommendations to avoid unwanted and potentially fatal interactions in children with cancer. PMID:20869315

  2. Basic and Clinical Pharmacology of Autonomic Drugs

    PubMed Central

    Becker, Daniel E.

    2012-01-01

    Autonomic drugs are used clinically to either imitate or inhibit the normal functions of the sympathetic and parasympathetic nervous systems. A large number of additional drug classes also interact with these systems to produce a stunning number of possible side effects. This article reviews the basic function of the autonomic nervous system and the various drug classes that act within these neural synapses. PMID:23241039

  3. Comparison of FDA Approved Kinase Targets to Clinical Trial Ones: Insights from Their System Profiles and Drug-Target Interaction Networks

    PubMed Central

    Xu, Jingyu; Wang, Panpan; Yang, Hong; Li, Yinghong; Yu, Chunyan; Tian, Yubin

    2016-01-01

    Kinase is one of the most productive classes of established targets, but the majority of approved drugs against kinase were developed only for cancer. Intensive efforts were therefore exerted for releasing its therapeutic potential by discovering new therapeutic area. Kinases in clinical trial could provide great opportunities for treating various diseases. However, no systematic comparison between system profiles of established targets and those of clinical trial ones was conducted. The reveal of probable difference or shift of trend would help to identify key factors defining druggability of established targets. In this study, a comparative analysis of system profiles of both types of targets was conducted. Consequently, the systems profiles of the majority of clinical trial kinases were identified to be very similar to those of established ones, but percentages of established targets obeying the system profiles appeared to be slightly but consistently higher than those of clinical trial targets. Moreover, a shift of trend in the system profiles from the clinical trial to the established targets was identified, and popular kinase targets were discovered. In sum, this comparative study may help to facilitate the identification of the druggability of established drug targets by their system profiles and drug-target interaction networks. PMID:27547755

  4. [Pharmacokinetic interactions of telaprevir with other drugs].

    PubMed

    Berenguer Berenguer, Juan; González-García, Juan

    2013-07-01

    Telaprevir is a new direct-acting antiviral drug for the treatment of hepatitis C virus (HCV) infection and is both a substrate and an inhibitor of cytochrome P450 (CYP450) isoenzymes. With the introduction of this new drug, assessment of drug-drug interactions has become a key factor in the evaluation of patients under treatment for HCV infection. During the treatment of this infection, many patients require other drugs to mitigate the adverse effects of anti-HCV drugs and to control other comorbidities. Moreover, most patients coinfected with HIV and HCV require antiretroviral therapy during treatment for HCV. Physicians should therefore be familiar with the pharmacokinetic properties of direct-acting antivirals for HCV treatment and their potential drug-drug interactions. The present article reviews the available information to date on the interactions of telaprevir with other drugs and provides recommendations for daily clinical practice. Copyright © 2013 Elsevier España, S.L. All rights reserved.

  5. Endogenous Biomarkers to Assess Drug-Drug Interactions by Drug Transporters and Enzymes.

    PubMed

    Mariappan, T Thanga; Shen, Hong; Marathe, Punit

    2017-07-24

    Drug-drug interactions (DDI) by modulation of drug transporters or drug metabolizing enzymes are common in multi-drug therapy. DDI potential of any new drugs are assessed by conducting separate clinical studies using relevant probe substrates, which involves additional resource and cost. Recently, several endogenous compounds were evaluated as substrates of transporters and enzymes that could be assessed as part of early clinical trials along with the assessment of drug pharmacokinetics, pharmacodynamics and safety studies. This enables an early readout on potential DDIs avoiding or minimally delaying the conduct of definitive DDI studies until later in clinical development. This review describes various endogenous biomarkers reported for drug transporters and metabolizing enzymes with their advantages and limitations. Further the authors describe strategies to adopt while exploring a new endogenous biomarker, factors to be considered in selection of biomarkers with the current challenges and opportunities. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  6. Adverse food-drug interactions.

    PubMed

    de Boer, Alie; van Hunsel, Florence; Bast, Aalt

    2015-12-01

    Food supplements and herbal products are increasingly popular amongst consumers. This leads to increased risks of interactions between prescribed drugs and these products containing bioactive ingredients. From 1991 up to 2014, 55 cases of suspected adverse drug reactions due to concomitant intake of health-enhancing products and drugs were reported to Lareb, the Netherlands Pharmacovigilance Centre. An overview of these suspected interactions is presented and their potential mechanisms of action are described. Mainly during the metabolism of xenobiotics and due to the pharmacodynamics effects interactions seem to occur, which may result in adverse drug reactions. Where legislation is seen to distinct food and medicine, legislation concerning these different bioactive products is less clear-cut. This can only be resolved by increasing the molecular knowledge on bioactive substances and their potential interactions. Thereby potential interactions can be better understood and prevented on an individual level. By considering the dietary pattern and use of bioactive substances with prescribed medication, both health professionals and consumers will be increasingly aware of interactions and these interactive adverse effects can be prevented.

  7. Clinical pharmacokinetic drug interaction studies of gabapentin enacarbil, a novel transported prodrug of gabapentin, with naproxen and cimetidine

    PubMed Central

    Lal, Ritu; Sukbuntherng, Juthamas; Luo, Wendy; Vicente, Virna; Blumenthal, Robin; Ho, Judy; Cundy, Kenneth C

    2010-01-01

    AIM Gabapentin enacarbil, a transported prodrug of gabapentin, provides sustained, dose-proportional exposure to gabapentin. Unlike gabapentin, the prodrug is absorbed throughout the intestinal tract by high-capacity nutrient transporters, including mono-carboxylate transporter-1 (MCT-1). Once absorbed, gabapentin enacarbil is rapidly hydrolyzed to gabapentin, which is subsequently excreted by renal elimination via organic cation transporters (OCT2). To examine the potential for drug–drug interactions at these two transporters, the pharmacokinetics of gabapentin enacarbil were evaluated in healthy adults after administration alone or in combination with either naproxen (an MCT-1 substrate) or cimetidine (an OCT2 substrate). METHODS Subjects (n= 12 in each study) received doses of study drug until steady state was achieved; 1200 mg gabapentin enacarbil each day, followed by either naproxen (500 mg twice daily) or cimetidine (400 mg four times daily) followed by the combination. RESULTS When gabapentin enacarbil was co-administered with naproxen, gabapentin Css,max increased by, on average, 8% and AUC by, on average, 13%. When gabapentin enacarbil was co-administered with cimetidine, gabapentin AUCss increased by 24% and renal clearance of gabapentin decreased. Co-administration with gabapentin enacarbil did not affect naproxen or cimetidine exposure. Gabapentin enacarbil was generally well tolerated. CONCLUSIONS No gabapentin enacarbil dose adjustment is needed with co-administration of naproxen or cimetidine. PMID:20573085

  8. Food-drug interactions: grapefruit juice.

    PubMed

    Diaconu, Camelia Harapu; Cuciureanu, Magdalena; Vlase, L; Cuciureanu, Rodica

    2011-01-01

    Food-drug interactions are increasingly recognized as important clinical events which may change significantly the bioavailability of oral administrated drugs. Grapefruit juice (GFJ) demonstrated multiple interactions with drugs leading to loss of the therapeutic effects or increased side-effects. GFJ decreases pre-systemic metabolism through a) competitive or mechanism-based inhibition of gut wall CYP3A4 isoenzymes and b) P-glycoprotein (P-gp), c) multidrug resistance protein-2 (MRP2) or d) organic anion-transporting polypeptide (OATP) inhibition. Although, GFJ presents high amounts of flavonoids (e.g. naringin, naringenin), furanocoumarins (e.g. 6',7'-dihydroxybergamottin, bergamottin) are the main chemicals involved in the pharmacokinetic interactions. As compounds of GFJ show additive or synergistic effects, all the major furanocoumarins are necessary for the maximal inhibitory effect. Also, related citrus fruits (sweeties, pummelo and sour orange) or various plants containing furanocoumarins may present pharmacological interactions, yet to be discovered.

  9. Severe potential drug-drug interactions in older adults with dementia and associated factors

    PubMed Central

    Bogetti-Salazar, Michele; González-González, Cesar; Juárez-Cedillo, Teresa; Sánchez-García, Sergio; Rosas-Carrasco, Oscar

    2016-01-01

    OBJECTIVE: To identify the main severe potential drug-drug interactions in older adults with dementia and to examine the factors associated with these interactions. METHOD: This was a cross-sectional study. The enrolled patients were selected from six geriatrics clinics of tertiary care hospitals across Mexico City. The patients had received a clinical diagnosis of dementia based on the current standards and were further divided into the following two groups: those with severe drug-drug interactions (contraindicated/severe) (n=64) and those with non-severe drug-drug interactions (moderate/minor/absent) (n=117). Additional socio-demographic, clinical and caregiver data were included. Potential drug-drug interactions were identified using Micromedex Drug Reax 2.0® database. RESULTS: A total of 181 patients were enrolled, including 57 men (31.5%) and 124 women (68.5%) with a mean age of 80.11±8.28 years. One hundred and seven (59.1%) patients in our population had potential drug-drug interactions, of which 64 (59.81%) were severe/contraindicated. The main severe potential drug-drug interactions were caused by the combinations citalopram/anti-platelet (11.6%), clopidogrel/omeprazole (6.1%), and clopidogrel/aspirin (5.5%). Depression, the use of a higher number of medications, dementia severity and caregiver burden were the most significant factors associated with severe potential drug-drug interactions. CONCLUSIONS: Older people with dementia experience many severe potential drug-drug interactions. Anti-depressants, antiplatelets, anti-psychotics and omeprazole were the drugs most commonly involved in these interactions. Despite their frequent use, anti-dementia drugs were not involved in severe potential drug-drug interactions. The number and type of medications taken, dementia severity and depression in patients in addition to caregiver burden should be considered to avoid possible drug interactions in this population. PMID:26872079

  10. Severe potential drug-drug interactions in older adults with dementia and associated factors.

    PubMed

    Bogetti-Salazar, Michele; González-González, Cesar; Juárez-Cedillo, Teresa; Sánchez-García, Sergio; Rosas-Carrasco, Oscar

    2016-01-01

    To identify the main severe potential drug-drug interactions in older adults with dementia and to examine the factors associated with these interactions. This was a cross-sectional study. The enrolled patients were selected from six geriatrics clinics of tertiary care hospitals across Mexico City. The patients had received a clinical diagnosis of dementia based on the current standards and were further divided into the following two groups: those with severe drug-drug interactions (contraindicated/severe) (n=64) and those with non-severe drug-drug interactions (moderate/minor/absent) (n=117). Additional socio-demographic, clinical and caregiver data were included. Potential drug-drug interactions were identified using Micromedex Drug Reax 2.0® database. A total of 181 patients were enrolled, including 57 men (31.5%) and 124 women (68.5%) with a mean age of 80.11±8.28 years. One hundred and seven (59.1%) patients in our population had potential drug-drug interactions, of which 64 (59.81%) were severe/contraindicated. The main severe potential drug-drug interactions were caused by the combinations citalopram/anti-platelet (11.6%), clopidogrel/omeprazole (6.1%), and clopidogrel/aspirin (5.5%). Depression, the use of a higher number of medications, dementia severity and caregiver burden were the most significant factors associated with severe potential drug-drug interactions. Older people with dementia experience many severe potential drug-drug interactions. Anti-depressants, antiplatelets, anti-psychotics and omeprazole were the drugs most commonly involved in these interactions. Despite their frequent use, anti-dementia drugs were not involved in severe potential drug-drug interactions. The number and type of medications taken, dementia severity and depression in patients in addition to caregiver burden should be considered to avoid possible drug interactions in this population.

  11. Impact of the FDA warning of potential ceftriaxone and calcium interactions on drug use policy in clinical practice.

    PubMed

    Esterly, John S; Steadman, Emily; Scheetz, Marc H

    2011-06-01

    In September 2007, the FDA issued an alert recommending that ceftriaxone and calcium-containing solutions should not be administered to any patient within 48 h of each other. Due to the widespread use of ceftriaxone, significant concern was expressed by the greater healthcare community about the warning, which the FDA eventually retracted in April of 2009. We sought to quantify the impact of the warning on healthcare institutions. A survey was administered to the membership of the Society of Infectious Diseases Pharmacists to quantify perceived changes in ceftriaxone use among healthcare institutions across the United States. A survey of Infectious Diseases experts was conducted. Participants were queried for hospital policies/drug use statistics during two times: immediately after the FDA warning and approximately 13 months post warning (preceding the FDA retraction). Related changes in formulary, drug-use policy, and the number of employee hours that were devoted to addressing the FDA warning were assessed. Ninety-four surveys representing 94 hospital systems were included in the analysis. Approximately half (n = 49, 52%) of respondent institutions enacted at least one drug-use policy change based on the warning; one institution removed ceftriaxone from a clinical protocol. Institutions' final interpretations of the warning differed slightly from initial understanding of the warning, and there was an overall minor decrease in the perceived use of ceftriaxone. The majority of those surveyed (n = 70, 74%) estimated that their respective institutions devoted between 1 and 49 employee hours to address the warning. Hospitals with ID pharmacists had minimal changes to ceftriaxone use after the 2007 FDA warning. Specialized pharmacists may be uniquely situated to help hospitals interpret global recommendations locally.

  12. Common Herbal Dietary Supplement-Drug Interactions.

    PubMed

    Asher, Gary N; Corbett, Amanda H; Hawke, Roy L

    2017-07-15

    Nearly 25% of U.S. adults report concurrently taking a prescription medication with a dietary supplement. Some supplements, such as St. John's wort and goldenseal, are known to cause clinically important drug interactions and should be avoided by most patients receiving any pharmacologic therapy. However, many other supplements are predicted to cause interactions based only on in vitro studies that have not been confirmed or have been refuted in human clinical trials. Some supplements may cause interactions with a few medications but are likely to be safe with other medications (e.g., curcumin, echinacea, garlic, Asian ginseng, green tea extract, kava kava). Some supplements have a low likelihood of drug interactions and, with certain caveats, can safely be taken with most medications (e.g., black cohosh, cranberry, ginkgo, milk thistle, American ginseng, saw palmetto, valerian). Clinicians should consult reliable dietary supplement resources, or clinical pharmacists or pharmacologists, to help assess the safety of specific herbal supplement-drug combinations. Because most patients do not disclose supplement use to clinicians, the most important strategy for detecting herb-drug interactions is to develop a trusting relationship that encourages patients to discuss their dietary supplement use.

  13. Interactions between recreational drugs and antiretroviral agents.

    PubMed

    Antoniou, Tony; Tseng, Alice Lin-In

    2002-10-01

    To summarize existing data regarding potential interactions between recreational drugs and drugs commonly used in the management of HIV-positive patients. Information was obtained via a MEDLINE search (1966-August 2002) using the MeSH headings human immunodeficiency virus, drug interactions, cytochrome P450, medication names commonly prescribed for the management of HIV and related opportunistic infections, and names of commonly used recreational drugs. Abstracts of national and international conferences, review articles, textbooks, and references of all articles were also reviewed. Literature on pharmacokinetic interactions was considered for inclusion. Pertinent information was selected and summarized for discussion. In the absence of specific data, prediction of potential clinically significant interactions was based on pharmacokinetic and pharmacodynamic properties. All protease inhibitors (PIs) and nonnucleoside reverse transcriptase inhibitors are substrates and potent inhibitors or inducers of the cytochrome P450 system. Many classes of recreational drugs, including benzodiazepines, amphetamines, and opioids, are also metabolized by the liver and can potentially interact with antiretrovirals. Controlled interaction studies are often not available, but clinically significant interactions have been observed in a number of case reports. Overdoses secondary to interactions between the "rave" drugs methylenedioxymethamphetamine (MDMA) or gamma-hydroxybutyrate (GHB) and PIs have been reported. PIs, particularly ritonavir, may also inhibit metabolism of amphetamines, ketamine, lysergic acid diethylmide (LSD), and phencyclidine (PCP). Case series and pharmacokinetic studies suggest that nevirapine and efavirenz induce methadone metabolism, which may lead to symptoms of opiate withdrawal. A similar interaction may exist between methadone and the PIs ritonavir and nelfinavir, although the data are less consistent. Opiate metabolism can be inhibited or induced by

  14. Gauging the clinical significance of P-glycoprotein-mediated herb-drug interactions: comparative effects of St. John's wort, Echinacea, clarithromycin, and rifampin on digoxin pharmacokinetics.

    PubMed

    Gurley, Bill J; Swain, Ashley; Williams, D Keith; Barone, Gary; Battu, Sunil K

    2008-07-01

    Concomitant administration of botanical supplements with drugs that are P-glycoprotein (P-gp) substrates may produce clinically significant herb-drug interactions. This study evaluated the effects of St. John's wort and Echinacea on the pharmacokinetics of digoxin, a recognized P-gp substrate. Eighteen healthy volunteers were randomly assigned to receive a standardized St. John's wort (300 mg three times daily) or Echinacea (267 mg three times daily) supplement for 14 days, followed by a 30-day washout period. Subjects were also randomized to receive rifampin (300 mg twice daily, 7 days) and clarithromycin (500 mg twice daily, 7 days) as positive controls for P-gp induction and inhibition, respectively. Digoxin (Lanoxin 0.25 mg) was administered orally before and after each supplementation and control period. Serial digoxin plasma concentrations were obtained over 24 h and analyzed by chemiluminescent immunoassay. Comparisons of area under the curve (AUC)((0-3)), AUC((0-24)), elimination half-life, and maximum serum concentration were used to assess the effects of St. John's wort, Echinacea, rifampin, and clarithromycin on digoxin disposition. St. John's wort and rifampin both produced significant reductions (p < 0.05) in AUC((0-3)), AUC((0-24)), and C(max), while clarithromycin increased these parameters significantly (p < 0.05). Echinacea supplementation did not affect digoxin pharmacokinetics. Clinically significant P-gp-mediated herb-drug interactions are more likely to occur with St. John's wort than with Echinacea.

  15. [Antibiotics: drug and food interactions].

    PubMed

    Hodel, M; Genné, D

    2009-10-07

    Antibiotics are widely prescribed in medical practice. Many of them induce or are subject to interactions that may diminish their anti-infectious efficiency or elicit toxic effects. Food intake can influence the effectiveness of an antibiotic. Certain antibiotics can lower the effectiveness of oral contraception. Oral anticoagulation can be influenced to a great extent by antibiotics and controls are necessary. Interactions are also possible via enzymatic induction or inhibition of cytochromes. The use of an interaction list with substrates of cytochromes enables to anticipate. Every new prescription should consider a possible drug or food interaction.

  16. Pharmacokinetic Drug Interactions with Panax ginseng.

    PubMed

    Ramanathan, Meenakshi R; Penzak, Scott R

    2017-08-01

    Panax ginseng is widely used as an adaptogen throughout the world. The major active constituents of P. ginseng are ginsenosides. Most naturally occurring ginsenosides are deglycosylated by colonic bacteria to intestinal metabolites. Ginsenosides along with these metabolites are widely accepted as being responsible for the pharmacologic activity and drug interaction potential of ginseng. Numerous preclinical studies have assessed the influence of various ginseng components on cytochrome P450 (CYP), glucuronidation, and drug transport activity. Results from these investigations have been largely inconclusive due to the use of different ginseng products and variations in methodology between studies. Drug interaction studies in humans have been conflicting and have largely yielded negative results or results that suggest only a weak interaction. One study using a midazolam probe found weak CYP3A induction and another using a fexofenadine probe found weak P-gp inhibition. Despite several case reports indicating a drug interaction between warfarin and P. ginseng, pharmacokinetic studies involving these agents in combination have failed to find significant pharmacokinetic or pharmacodynamic interactions. To this end, drug interactions involving P. ginseng appear to be rare; however, close clinical monitoring is still suggested for patients taking warfarin or CYP3A or P-gp substrates with narrow therapeutic indices.

  17. Virtual Clinical Trial Toward Polytherapy Safety Assessment: Combination of Physiologically Based Pharmacokinetic/Pharmacodynamic-Based Modeling and Simulation Approach With Drug-Drug Interactions Involving Terfenadine as an Example.

    PubMed

    Wiśniowska, Barbara; Polak, Sebastian

    2016-11-01

    A Quantitative Systems Pharmacology approach was utilized to predict the cardiac consequences of drug-drug interaction (DDI) at the population level. The Simcyp in vitro-in vivo correlation and physiologically based pharmacokinetic platform was used to predict the pharmacokinetic profile of terfenadine following co-administration of the drug. Electrophysiological effects were simulated using the Cardiac Safety Simulator. The modulation of ion channel activity was dependent on the inhibitory potential of drugs on the main cardiac ion channels and a simulated free heart tissue concentration. ten Tusscher's human ventricular cardiomyocyte model was used to simulate the pseudo-ECG traces and further predict the pharmacodynamic consequences of DDI. Consistent with clinical observations, predicted plasma concentration profiles of terfenadine show considerable intra-subject variability with recorded Cmax values below 5 ng/mL for most virtual subjects. The pharmacokinetic and pharmacodynamic effects of inhibitors were predicted with reasonable accuracy. In all cases, a combination of the physiologically based pharmacokinetic and physiology-based pharmacodynamic models was able to differentiate between the terfenadine alone and terfenadine + inhibitor scenario. The range of QT prolongation was comparable in the clinical and virtual studies. The results indicate that mechanistic in vitro-in vivo correlation can be applied to predict the clinical effects of DDI even without comprehensive knowledge on all mechanisms contributing to the interaction.

  18. Renal drug transporters and their significance in drug-drug interactions.

    PubMed

    Yin, Jia; Wang, Joanne

    2016-09-01

    The kidney is a vital organ for the elimination of therapeutic drugs and their metabolites. Renal drug transporters, which are primarily located in the renal proximal tubules, play an important role in tubular secretion and reabsorption of drug molecules in the kidney. Tubular secretion is characterized by high clearance capacities, broad substrate specificities, and distinct charge selectivity for organic cations and anions. In the past two decades, substantial progress has been made in understanding the roles of transporters in drug disposition, efficacy, toxicity and drug-drug interactions (DDIs). In the kidney, several transporters are involved in renal handling of organic cation (OC) and organic anion (OA) drugs. These transporters are increasingly recognized as the target for clinically significant DDIs. This review focuses on the functional characteristics of major human renal drug transporters and their involvement in clinically significant DDIs.

  19. Drug interaction microcomputer software evaluation: Drug Master 89.

    PubMed

    Poirier, T I; Giudici, R A

    1989-12-01

    Drug Master 89 was evaluated using general and specific criteria. The installation process, ease of learning, and ease of use were rated excellent. The technical support, scope of coverage, and overall clinical performance were rated good. The quality of the clinical documentation and frequency of updates were fair, while the quality of the user documentation was poor. The program is valuable to the clinical dietician because of the comprehensiveness of its dietary and food interactions data base. For the practicing pharmacist, it performs reasonably well but other available programs are better values.

  20. Potential Drug - Drug Interactions among Medications Prescribed to Hypertensive Patients

    PubMed Central

    Ganguly, Barna

    2014-01-01

    Context: Drug-drug interactions(DDIs) are significant but avoidable causes of iatrogenic morbidity and hospital admission. Aim: To detect potential drug-drug interactions among medications received by hypertensive patients. Materials and Methods: Patients of both sex and all adult age groups, who were attending medicine out -patient department (OPD) of a tertiary care teaching rural hospital since last six months and were being prescribed antihypertensive drug/s for essential hypertension, were selected for the study. Hypertensive patient with co-morbities diabetes mellitus, ischemic heart diseases, congestive heart failure, and chronic renal diseases were also included in the study. Potential drug drug interactions were checked with medscape drug interaction software. Results: With the help of medscape drug interaction software, 71.50% prescriptions were identified having atleast one drug-drug interaction. Total 918 DDIs were found in between 58 drug pairs. 55.23% DDIs were pharmacodynamic, 4.79% pharmacokinetic type of DDIs. 32.24% DDIs were found affecting serum potassium level. 95.42% DDIs were found significant type of DDIs. Drug drug interaction between atenolol & amlodipine was the most common DDI (136) followed by metoprolol and amlodine (88) in this study. Atenolol and amlodipine ( 25.92%) was the most common drugs to cause DDIs in our study. Conclusion: We detected a significant number of drug drug interaction in hypertensive patients. These interactions were between antihypertensive agents or between hypertensive and drug for co-morbid condition. PMID:25584241

  1. Alterations of chemotherapeutic pharmacokinetic profiles by drug–drug interactions

    PubMed Central

    Ghalib, Mohammed; Chaudhary, Imran; Goel, Sanjay

    2012-01-01

    Background Drug interactions in oncology are common place and largely ignored as we tolerate high thresholds of ‘toxic’ drug responses in these patients. However, in the era of ‘targeted’ or seemingly ‘less toxic’ therapy, these interactions are more commonly flagged and contribute significantly towards poor ‘quality of life’ and medical fatalities. Objective This review and opinion article focuses on alteration of chemotherapeutic pharmacokinetic profiles by drug interactions in the setting of polypharmacy. The assumption is that the drugs, with changes in their pharmacokinetics, will contribute towards changes in their pharmacodynamics. Methods The examples cited for such drug–drug interactions are culled from published literature with an emphasis on those interactions that have been well characterized at the molecular level. Results Although very few drug interaction studies have been performed on approved oncology based drugs, it is clear that drugs whose pharmacokinetics profiles are closely related to their pharmacodynamics will indeed result in clinically important drug interactions. Some newer mechanisms are described that involve interactions at the level of gene transcription, whereby, drug metabolism is significantly altered. However, for any given drug interaction, there does not seem to be a comprehensive model describing interactions. Conclusions Mechanisms based drug interactions are plentiful in oncology; however, there is an absolute lack of a comprehensive model that would predict drug–drug interactions. PMID:19239394

  2. Nuclear Receptors in Drug Metabolism, Drug Response and Drug Interactions.

    PubMed

    Prakash, Chandra; Zuniga, Baltazar; Song, Chung Seog; Jiang, Shoulei; Cropper, Jodie; Park, Sulgi; Chatterjee, Bandana

    Orally delivered small-molecule therapeutics are metabolized in the liver and intestine by phase I and phase II drug-metabolizing enzymes (DMEs), and transport proteins coordinate drug influx (phase 0) and drug/drug-metabolite efflux (phase III). Genes involved in drug metabolism and disposition are induced by xenobiotic-activated nuclear receptors (NRs), i.e. PXR (pregnane X receptor) and CAR (constitutive androstane receptor), and by the 1α, 25-dihydroxy vitamin D3-activated vitamin D receptor (VDR), due to transactivation of xenobiotic-response elements (XREs) present in phase 0-III genes. Additional NRs, like HNF4-α, FXR, LXR-α play important roles in drug metabolism in certain settings, such as in relation to cholesterol and bile acid metabolism. The phase I enzymes CYP3A4/A5, CYP2D6, CYP2B6, CYP2C9, CYP2C19, CYP1A2, CYP2C8, CYP2A6, CYP2J2, and CYP2E1 metabolize >90% of all prescription drugs, and phase II conjugation of hydrophilic functional groups (with/without phase I modification) facilitates drug clearance. The conjugation step is mediated by broad-specificity transferases like UGTs, SULTs, GSTs. This review delves into our current understanding of PXR/CAR/VDR-mediated regulation of DME and transporter expression, as well as effects of single nucleotide polymorphism (SNP) and epigenome (specified by promoter methylation, histone modification, microRNAs, long non coding RNAs) on the expression of PXR/CAR/VDR and phase 0-III mediators, and their impacts on variable drug response. Therapeutic agents that target epigenetic regulation and the molecular basis and consequences (overdosing, underdosing, or beneficial outcome) of drug-drug/drug-food/drug-herb interactions are also discussed. Precision medicine requires understanding of a drug's impact on DME and transporter activity and their NR-regulated expression in order to achieve optimal drug efficacy without adverse drug reactions. In future drug screening, new tools such as humanized mouse models and

  3. Nuclear Receptors in Drug Metabolism, Drug Response and Drug Interactions

    PubMed Central

    Prakash, Chandra; Zuniga, Baltazar; Song, Chung Seog; Jiang, Shoulei; Cropper, Jodie; Park, Sulgi; Chatterjee, Bandana

    2016-01-01

    Orally delivered small-molecule therapeutics are metabolized in the liver and intestine by phase I and phase II drug-metabolizing enzymes (DMEs), and transport proteins coordinate drug influx (phase 0) and drug/drug-metabolite efflux (phase III). Genes involved in drug metabolism and disposition are induced by xenobiotic-activated nuclear receptors (NRs), i.e. PXR (pregnane X receptor) and CAR (constitutive androstane receptor), and by the 1α, 25-dihydroxy vitamin D3-activated vitamin D receptor (VDR), due to transactivation of xenobiotic-response elements (XREs) present in phase 0-III genes. Additional NRs, like HNF4-α, FXR, LXR-α play important roles in drug metabolism in certain settings, such as in relation to cholesterol and bile acid metabolism. The phase I enzymes CYP3A4/A5, CYP2D6, CYP2B6, CYP2C9, CYP2C19, CYP1A2, CYP2C8, CYP2A6, CYP2J2, and CYP2E1 metabolize >90% of all prescription drugs, and phase II conjugation of hydrophilic functional groups (with/without phase I modification) facilitates drug clearance. The conjugation step is mediated by broad-specificity transferases like UGTs, SULTs, GSTs. This review delves into our current understanding of PXR/CAR/VDR-mediated regulation of DME and transporter expression, as well as effects of single nucleotide polymorphism (SNP) and epigenome (specified by promoter methylation, histone modification, microRNAs, long non coding RNAs) on the expression of PXR/CAR/VDR and phase 0-III mediators, and their impacts on variable drug response. Therapeutic agents that target epigenetic regulation and the molecular basis and consequences (overdosing, underdosing, or beneficial outcome) of drug-drug/drug-food/drug-herb interactions are also discussed. Precision medicine requires understanding of a drug’s impact on DME and transporter activity and their NR-regulated expression in order to achieve optimal drug efficacy without adverse drug reactions. In future drug screening, new tools such as humanized mouse models and

  4. Indolone-N-oxide derivatives: in vitro activity against fresh clinical isolates of Plasmodium falciparum, stage specificity and in vitro interactions with established antimalarial drugs.

    PubMed

    Tahar, Rachida; Vivas, Livia; Basco, Leonardo; Thompson, Eloise; Ibrahim, Hany; Boyer, Jérémie; Nepveu, Françoise

    2011-11-01

    Indolone-N-oxides are characterized by the presence of a highly reactive pharmacophore, the nitrone moiety (C=N(+)-O(-)), which undergoes oxidation-reduction reactions. The aims of the present study were to: (i) evaluate the in vitro activity of the parent compound, designated as compound 1, against 34 fresh clinical isolates of Plasmodium falciparum; (ii) compare the activity of compound 1 with that of chloroquine and dihydroartemisinin to assess the potential for cross-resistance; (iii) investigate drug interactions of indolone-N-oxides with standard antimalarials; and (iv) determine the stage-dependent activity of indolone-N-oxides. In vitro antimalarial activity was evaluated against clinical isolates collected from Cameroonian patients by the [(3)H]hypoxanthine incorporation assay. In vitro interactions between compound 1 or another analogue, compound 4, and established antimalarial drugs were assessed by the fixed ratio method. Stage specificity was evaluated by light microscopy using highly synchronized P. falciparum cultures. The geometric mean 50% inhibitory concentration (IC(50)) of compound 1 was 48.6 nM. Its activity did not differ between the chloroquine-susceptible and the chloroquine-resistant isolates. There was no correlation between chloroquine and compound 1 responses (r = 0.015; P > 0.05), but the in vitro responses of compound 1 and dihydroartemisinin were significantly and positively correlated (r = 0.444; P < 0.05). No significant in vitro interaction was observed between indolone-N-oxide derivatives and established antimalarial drugs (artemisinin and its derivatives, chloroquine, amodiaquine, quinine and mefloquine). Compound 1 and compound 4, as well as artesunate, inhibited parasite maturation at the ring stage. These findings suggest that other indolone-N-oxide derivatives with more potent activity than the parent compound may hold promise as antimalarials in the future.

  5. Mechanisms and Consequences of Drug-Drug Interactions.

    PubMed

    Greenblatt, David J

    2017-03-01

    Medications used to treat human immunodeficiency virus (HIV) and hepatitis C virus (HCV) infections present a special challenge with respect to the management of potential and actual drug-drug interactions (DDIs). The HIV and HCV treatments may interact with each other, and also interact with drugs of abuse and/or with medications used to treat substance abuse. Possible mechanisms of these DDIs generally include induction or inhibition of activity/expression of human cytochromes P450, glucuronosyl transferases, or energy-dependent transport proteins. These DDIs can be complex and time-dependent in nature. Because time and resources available for new drug development are necessarily limited, not all potential DDIs can be evaluated via clinical pharmacokinetic studies in the course of development of HIV, HCV, and substance abuse treatments. Strategies are needed to refine existing in vitro models and screening techniques to allow more efficient targeting of resources to those clinical studies having the highest impact in terms of enhancing medication effectiveness and patient safety.

  6. [Terbinafine : Relevant drug interactions and their management].

    PubMed

    Dürrbeck, A; Nenoff, P

    2016-09-01

    The allylamine terbinafine is the probably most frequently prescribed systemic antifungal agent in Germany for the treatment of dermatomycoses and onychomycoses. According to the German drug law, terbinafine is approved for patients who are 18 years and older; however, this antifungal agent is increasingly used off-label for treatment of onychomycoses and tinea capitis in children. Terbinafine is associated with only a few interactions with other drugs, which is why terbinafine can generally be used without problems in older and multimorbid patients. Nevertheless, some potential interactions of terbinafine with certain drug substances are known, including substances of the group of antidepressants/antipsychotics and some cardiovascular drugs. Decisive for the relevance of interactions is-along with the therapeutic index of the substrate and the possible alternative degradation pathways-the genetically determined type of metabolism. When combining terbinafine with tricyclic antidepressants or selective serotonin reuptake inhibitors and serotonin/noradrenalin reuptake inhibitors, the clinical response and potential side effects must be monitored. Problematic is the use of terbinafine with simultaneous treatment with tamoxifen. The administration of potent CYP2D6 inhibitors leads to a diminished efficacy of tamoxifen because one of its most important active metabolites-endoxifen-is not sufficiently available. Therefore, combination of tamoxifen and terbinafine should be avoided. In conclusion, the number of substances which are able to cause clinically relevant interactions in case of simultaneously administration with terbinafine is clear and should be manageable in the dermatological office with adequate monitoring.

  7. Food and drug interactions: a general review.

    PubMed

    Ötles, Semih; Senturk, Ahmet

    2014-01-01

    Although it is well known and identified that drug-drug interactions exist, the recognition of importance of food and drug interactions to practice has been growing much slower. On the other hand, drug-food/nutrient interactions continue to grow with the common use of medications. Beside the awareness of this type of interactions, food-drug interaction studies are critical to evaluate appropriate dosing, timing, and formulation of new drug candidates. Drug-food interactions take place mechanistically due to altered intestinal transport and metabolism, or systemic distribution, metabolism and excretion. In addition, some people have greater risk of food and drug interactions who have a poor diet, have serious health problems, childrens and pregnant women. In this article, basic informations about importance, classifications, transporters and enzymes of drug and nutrient interaction are given and some specific examples of both drug and nutrients and influences on each other are included.

  8. Mechanism of Drug-Drug Interactions Between Warfarin and Statins.

    PubMed

    Shaik, Abdul Naveed; Bohnert, Tonika; Williams, David A; Gan, Lawrence L; LeDuc, Barbara W

    2016-06-01

    The anticoagulant drug warfarin and the lipid-lowering statin drugs are commonly co-administered to patients with cardiovascular diseases. Clinically significant drug-drug interactions (DDIs) between these drugs have been recognized through case studies for many years, but the biochemical mechanisms causing these interactions have not been explained fully. Previous theories include kinetic alterations in cytochrome P-450-mediated drug metabolism or disturbances of drug-protein binding, leading to anticoagulant activity of warfarin; however, neither the enantioselective effects on warfarin metabolism nor the potential disruption of drug transporter function have been well investigated. This study investigated the etiology of the DDIs between warfarin and statins. Liquid chromatography-mass spectrometry methods were developed and validated to quantify racemic warfarin, 6 of its hydroxylated metabolites, and pure enantiomers of warfarin; these methods were applied to study the role of different absorption, distribution, metabolism, and excretion properties, leading to DDIs. Plasma protein binding displacement of warfarin was performed in the presence of statins using equilibrium dialysis method. Substrate kinetics of warfarin and pure enantiomers were performed with human liver microsomes to determine the kinetic parameters (Km and Vmax) for the formation of all 6 hydroxywarfarin metabolites, inhibition of warfarin metabolism in the presence of statins, was determined. Uptake transport studies of warfarin were performed using overexpressing HEK cell lines and efflux transport using human adenocarcinoma colonic cell line cells. Fluvastatin significantly displaced plasma protein binding of warfarin and pure enantiomers; no other statin resulted in significant displacement of warfarin. All the statins that inhibited the formation of 10-hydroxywarfarin, atorvastatin, pitavastatin, and simvastatin were highly potent compared to other statins; in contrast, only fluvastatin

  9. Herb-Drug Interactions of Commonly Used Chinese Medicinal Herbs.

    PubMed

    Singh, Amrinder; Zhao, Kaicun

    2017-01-01

    With more and more popular use of traditional herbal medicines, in particular Chinese herbal medicines, herb-drug interactions have become a more and more important safety issue in the clinical applications of the conventional drugs. Researches in this area are increasing very rapidly. Herb-drug interactions are complicated due to the fact that multiple chemical components are involved, and these compounds may possess diverse pharmacological activities. Interactions can be in both pharmacokinetics and pharmacodynamics. Abundant studies focused on pharmacokinetic interactions of herbs and drugs. Herbs may affect the behavior of the concomitantly used drugs by changing their absorption, distribution, metabolism, and excretion. Studies on pharmacodynamics interactions of herbs and drugs are still very limited. Herb-drug interactions are potentially causing changes in drug levels and drug activities and leading to either therapeutic failure or toxicities. Sometime it can be fatal. The exposures to drugs, lacking of knowledge in the potential adverse herb-drug interactions, will put big risk to patients' safety in medical services. On the contrary, some interactions may be therapeutically beneficial. It may be used to help develop new therapeutic strategies in the future. This chapter is trying to review the development in the area of herb-drug interactions based on the recently published research findings. Information on the potential interactions among the commonly used Chinese medicinal herbs and conventional drugs is summarized in this chapter. © 2017 Elsevier Inc. All rights reserved.

  10. Solitary Inhibition of the Breast Cancer Resistance Protein Efflux Transporter Results in a Clinically Significant Drug-Drug Interaction with Rosuvastatin by Causing up to a 2-Fold Increase in Statin Exposure.

    PubMed

    Elsby, Robert; Martin, Paul; Surry, Dominic; Sharma, Pradeep; Fenner, Katherine

    2016-03-01

    The intestinal efflux transporter breast cancer resistance protein (BCRP) restricts the absorption of rosuvastatin. Of the transporters important to rosuvastatin disposition, fostamatinib inhibited BCRP (IC50 = 50 nM) and organic anion-transporting polypeptide 1B1 (OATP1B1; IC50 > 10 μM), but not organic anion transporter 3, in vitro, predicting a drug-drug interaction (DDI) in vivo through inhibition of BCRP only. Consequently, a clinical interaction study between fostamatinib and rosuvastatin was performed (and reported elsewhere). This confirmed the critical role BCRP plays in statin absorption, as inhibition by fostamatinib resulted in a significant 1.96-fold and 1.88-fold increase in rosuvastatin area under the plasma concentration-time curve (AUC) and Cmax, respectively. An in vitro BCRP inhibition assay, using polarized Caco-2 cells and rosuvastatin as probe substrate, was subsequently validated with literature inhibitors and used to determine BCRP inhibitory potencies (IC50) of the perpetrator drugs eltrombopag, darunavir, lopinavir, clopidogrel, ezetimibe, fenofibrate, and fluconazole. OATP1B1 inhibition was also determined using human embryonic kidney 293-OATP1B1 cells versus estradiol 17β-glucuronide. Calculated parameters of maximum enterocyte concentration [Igut max], maximum unbound hepatic inlet concentration, transporter fraction excreted value, and determined IC50 value were incorporated into mechanistic static equations to compute theoretical increases in rosuvastatin AUC due to inhibition of BCRP and/or OATP1B1. Calculated theoretical increases in exposure correctly predicted the clinically observed changes in rosuvastatin exposure and suggested intestinal BCRP inhibition (not OATP1B1) to be the mechanism underlying the DDIs with these drugs. In conclusion, solitary inhibition of the intestinal BCRP transporter can result in clinically significant DDIs with rosuvastatin, causing up to a maximum 2-fold increase in exposure, which may warrant

  11. Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data.

    PubMed

    Zhang, Wen; Chen, Yanlin; Liu, Feng; Luo, Fei; Tian, Gang; Li, Xiaohong

    2017-01-05

    Drug-drug interactions (DDIs) are one of the major concerns in drug discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions in the entire lifecycle of drugs, and are important for the drug safety surveillance. Since many DDIs are not detected or observed in clinical trials, this work is aimed to predict unobserved or undetected DDIs. In this paper, we collect a variety of drug data that may influence drug-drug interactions, i.e., drug substructure data, drug target data, drug enzyme data, drug transporter data, drug pathway data, drug indication data, drug side effect data, drug off side effect data and known drug-drug interactions. We adopt three representative methods: the neighbor recommender method, the random walk method and the matrix perturbation method to build prediction models based on different data. Thus, we evaluate the usefulness of different information sources for the DDI prediction. Further, we present flexible frames of integrating different models with suitable ensemble rules, including weighted average ensemble rule and classifier ensemble rule, and develop ensemble models to achieve better performances. The experiments demonstrate that different data sources provide diverse information, and the DDI network based on known DDIs is one of most important information for DDI prediction. The ensemble methods can produce better performances than individual methods, and outperform existing state-of-the-art methods. The datasets and source codes are available at https://github.com/zw9977129/drug-drug-interaction/ .

  12. Antiplatelet drug interactions with proton pump inhibitors

    PubMed Central

    Scott, Stuart A; Obeng, Aniwaa Owusu; Hulot, Jean-Sébastien

    2014-01-01

    Introduction Non-aspirin antiplatelet agents (e.g., clopidogrel, prasugrel, ticagrelor) are commonly prescribed for the prevention of recurrent cardiovascular events among patients with acute coronary syndromes (ACS) and/or those undergoing percutaneous coronary intervention (PCI). In addition, combination therapy with proton pump inhibitors (PPIs) is often recommended to attenuate gastrointestinal bleeding risk, particularly during dual antiplatelet therapy (DAPT) with clopidogrel and aspirin. Importantly, a pharmacological interaction between clopidogrel and some PPIs has been proposed based on mutual CYP450-dependent metabolism, but available evidence is inconsistent. Areas covered This article provides an overview of the currently approved antiplatelet agents and PPIs, including their metabolic pathways. Additionally, the CYP450 isoenzyme at the center of the drug interaction, CYP2C19, is described in detail, and the available evidence on both the potential pharmacological interaction and influence on clinical outcomes are summarized and evaluated. Expert opinion Although concomitant DAPT and PPI use reduces clopidogrel active metabolite levels and ex vivo-measured platelet inhibition, the influence of the drug interaction on clinical outcomes has been conflicting and largely reported from non-randomized observational studies. Despite this inconsistency, a clinically important interaction cannot be definitively excluded, particularly among patient subgroups with higher overall cardiovascular risk and potentially among CYP2C19 loss-of-function allele carriers. PMID:24205916

  13. Pharmacokinetic Drug Interactions of Antimicrobial Drugs: A Systematic Review on Oxazolidinones, Rifamycines, Macrolides, Fluoroquinolones, and Beta-Lactams

    PubMed Central

    Bolhuis, Mathieu S.; Panday, Prashant N.; Pranger, Arianna D.; Kosterink, Jos G. W.; Alffenaar, Jan-Willem C.

    2011-01-01

    Like any other drug, antimicrobial drugs are prone to pharmacokinetic drug interactions. These drug interactions are a major concern in clinical practice as they may have an effect on efficacy and toxicity. This article provides an overview of all published pharmacokinetic studies on drug interactions of the commonly prescribed antimicrobial drugs oxazolidinones, rifamycines, macrolides, fluoroquinolones, and beta-lactams, focusing on systematic research. We describe drug-food and drug-drug interaction studies in humans, affecting antimicrobial drugs as well as concomitantly administered drugs. Since knowledge about mechanisms is of paramount importance for adequate management of drug interactions, the most plausible underlying mechanism of the drug interaction is provided when available. This overview can be used in daily practice to support the management of pharmacokinetic drug interactions of antimicrobial drugs. PMID:24309312

  14. Pharmacokinetic Drug Interactions of Antimicrobial Drugs: A Systematic Review on Oxazolidinones, Rifamycines, Macrolides, Fluoroquinolones, and Beta-Lactams.

    PubMed

    Bolhuis, Mathieu S; Panday, Prashant N; Pranger, Arianna D; Kosterink, Jos G W; Alffenaar, Jan-Willem C

    2011-11-18

    Like any other drug, antimicrobial drugs are prone to pharmacokinetic drug interactions. These drug interactions are a major concern in clinical practice as they may have an effect on efficacy and toxicity. This article provides an overview of all published pharmacokinetic studies on drug interactions of the commonly prescribed antimicrobial drugs oxazolidinones, rifamycines, macrolides, fluoroquinolones, and beta-lactams, focusing on systematic research. We describe drug-food and drug-drug interaction studies in humans, affecting antimicrobial drugs as well as concomitantly administered drugs. Since knowledge about mechanisms is of paramount importance for adequate management of drug interactions, the most plausible underlying mechanism of the drug interaction is provided when available. This overview can be used in daily practice to support the management of pharmacokinetic drug interactions of antimicrobial drugs.

  15. Potential drug interactions in patients given antiretroviral therapy

    PubMed Central

    dos Santos, Wendel Mombaque; Secoli, Silvia Regina; Padoin, Stela Maris de Mello

    2016-01-01

    ABSTRACT Objective: to investigate potential drug-drug interactions (PDDI) in patients with HIV infection on antiretroviral therapy. Methods: a cross-sectional study was conducted on 161 adults with HIV infection. Clinical, socio demographic, and antiretroviral treatment data were collected. To analyze the potential drug interactions, we used the software Micromedex(r). Statistical analysis was performed by binary logistic regression, with a p-value of ≤0.05 considered statistically significant. Results: of the participants, 52.2% were exposed to potential drug-drug interactions. In total, there were 218 potential drug-drug interactions, of which 79.8% occurred between drugs used for antiretroviral therapy. There was an association between the use of five or more medications and potential drug-drug interactions (p = 0.000) and between the time period of antiretroviral therapy being over six years and potential drug-drug interactions (p < 0.00). The clinical impact was prevalent sedation and cardiotoxicity. Conclusions: the PDDI identified in this study of moderate and higher severity are events that not only affect the therapeutic response leading to toxicity in the central nervous and cardiovascular systems, but also can interfere in tests used for detection of HIV resistance to antiretroviral drugs. PMID:27878224

  16. Medication Interactions: Food, Supplements and Other Drugs

    MedlinePlus

    ... you are prescribed a new medication. Ask about food, beverages, dietary supplements and other drugs. Check with your ... it with other drugs? Should I avoid certain foods, beverages or other products? What are possible drug interaction ...

  17. Antiretroviral Drug Interactions: Overview of Interactions Involving New and Investigational Agents and the Role of Therapeutic Drug Monitoring for Management

    PubMed Central

    Rathbun, R. Chris; Liedtke, Michelle D.

    2011-01-01

    Antiretrovirals are prone to drug-drug and drug-food interactions that can result in subtherapeutic or supratherapeutic concentrations. Interactions between antiretrovirals and medications for other diseases are common due to shared metabolism through cytochrome P450 (CYP450) and uridine diphosphate glucuronosyltransferase (UGT) enzymes and transport by membrane proteins (e.g., p-glycoprotein, organic anion-transporting polypeptide). The clinical significance of antiretroviral drug interactions is reviewed, with a focus on new and investigational agents. An overview of the mechanistic basis for drug interactions and the effect of individual antiretrovirals on CYP450 and UGT isoforms are provided. Interactions between antiretrovirals and medications for other co-morbidities are summarized. The role of therapeutic drug monitoring in the detection and management of antiretroviral drug interactions is also briefly discussed. PMID:24309307

  18. Decreased Linezolid Serum Concentrations in Three Critically Ill Patients: Clinical Case Studies of a Potential Drug Interaction between Linezolid and Rifampicin.

    PubMed

    Blassmann, Ute; Roehr, Anka C; Frey, Otto R; Koeberer, Andreas; Briegel, Josef; Huge, Volker; Vetter-Kerkhoff, Cornelia

    2016-01-01

    Linezolid is a valuable treatment option for treating infections caused by multi-resistant gram-positive pathogens. Lack of effective linezolid levels due to the co-administration of rifampicin has been described in healthy subjects. However, the clinical significance of this potential drug interaction (DI) for critically ill patients is still unclear. This was a retrospective analysis of 3 critically ill patients with the combination therapy of linezolid and rifampicin or rifampicin pre-treatment. Despite increasing the dose of linezolid, the majority of observed linezolid trough concentrations in all 3 patients were below 2 mg/l. Furthermore, linezolid trough concentrations remained below 2 mg/l after discontinuation of rifampicin. This potential DI between linezolid and rifampicin could lead to treatment failure. Therefore, we strongly recommend that linezolid serum concentrations be monitored in patients with rifampicin co-administration or rifampicin pretreatment. © 2016 S. Karger AG, Basel.

  19. [Drug resistant epilepsy. Clinical and neurobiological concepts].

    PubMed

    Espinosa-Jovel, Camilo A; Sobrino-Mejía, Fidel E

    2015-08-16

    Drug-resistant epilepsy, is a condition defined by the International League Against Epilepsy as persistent seizures despite having used at least two appropriate and adequate antiepileptic drug treatments. Approximately 20-30% of patients with epilepsy are going to be resistant to antiepileptic drugs, with different patterns of clinical presentation, which are related to the biological basis of this disease (de novo resistance, relapsing-remitting and progressive). Drug resistant epilepsy, impacts negatively the quality of life and significantly increases the risk of premature death. From the neurobiological point of view, this medical condition is the result of the interaction of multiple variables related to the underlying disease, drug interactions and proper genetic aspects of each patient. Thanks to advances in pharmacogenetics and molecular biology research, currently some hypotheses may explain the cause of this condition and promote the study of new therapeutic options. Currently, overexpression of membrane transporters such as P-glycoprotein, appears to be one of the most important mechanisms in the development of drug resistant epilepsy. The objective of this review is to deepen the general aspects of this clinical condition, addressing the definition, epidemiology, differential diagnosis and the pathophysiological bases.

  20. Opioid analgesics-related pharmacokinetic drug interactions: from the perspectives of evidence based on randomized controlled trials and clinical risk management.

    PubMed

    Feng, Xiu-Qin; Zhu, Ling-Ling; Zhou, Quan

    2017-01-01

    Multimorbidity results in complex polypharmacy which may bear a risk of drug interactions. A better understanding of opioid analgesics combination therapy used for pain management could help warrant medication safety, efficacy, and economic relevance. Until now there has been no review summarizing the opioid analgesics-related pharmacokinetic drug interactions from the perspective of evidence based on randomized controlled trials (RCTs). A literature search was performed using PubMed, MEDLINE, and the Cochrane Library, using a PRISMA flowchart. Fifty-two RCTs were included for data interpretation. Forty-two RCTs (80.8%) were conducted in healthy volunteers, whereas 10 RCTs (19.2%) enrolled true patients. None of the opioid-drug/herb pairs was listed as contraindications of opioids involved in this review. Circumstances in which opioid is comedicated as a precipitant drug include morphine-P2Y12 inhibitors, morphine-gabapentin, and methadone-zidovudine. Circumstances in which opioid is comedicated as an object drug include rifampin-opioids (morphine, tramadol, oxycodone, methadone), quinidine-opioids (morphine, fentanyl, oxycodone, codeine, dihydrocodeine, methadone), antimycotics-opioids (buprenorphine, fentanyl, morphine, oxycodone, methadone, tilidine, tramadol), protease inhibitors-opioids (ritonavir, ritonavir/lopinavir-oxycodone, ritonavir-fentanyl, ritonavir-tilidine), grapefruit juice-opioids (oxycodone, fentanyl, methadone), antidepressants-opioids (paroxetine-tramadol, paroxetine-hydrocodone, paroxetine-oxycodone, escitalopram-tramadol), metoclopramide-morphine, amantadine-morphine, sumatriptan-butorphanol nasal sprays, ticlopidine-tramadol, St John's wort-oxycodone, macrolides/ketolides-oxycodone, and levomepromazine-codeine. RCTs investigating the same combination, almost unanimously, drew consistent conclusions, except two RCTs on amantadine-intravenous morphine combination where a different amantadine dose was used and two RCTs on morphine

  1. Opioid analgesics-related pharmacokinetic drug interactions: from the perspectives of evidence based on randomized controlled trials and clinical risk management

    PubMed Central

    Feng, Xiu-qin; Zhu, Ling-ling; Zhou, Quan

    2017-01-01

    Background Multimorbidity results in complex polypharmacy which may bear a risk of drug interactions. A better understanding of opioid analgesics combination therapy used for pain management could help warrant medication safety, efficacy, and economic relevance. Until now there has been no review summarizing the opioid analgesics-related pharmacokinetic drug interactions from the perspective of evidence based on randomized controlled trials (RCTs). Method A literature search was performed using PubMed, MEDLINE, and the Cochrane Library, using a PRISMA flowchart. Results Fifty-two RCTs were included for data interpretation. Forty-two RCTs (80.8%) were conducted in healthy volunteers, whereas 10 RCTs (19.2%) enrolled true patients. None of the opioid–drug/herb pairs was listed as contraindications of opioids involved in this review. Circumstances in which opioid is comedicated as a precipitant drug include morphine–P2Y12 inhibitors, morphine–gabapentin, and methadone–zidovudine. Circumstances in which opioid is comedicated as an object drug include rifampin–opioids (morphine, tramadol, oxycodone, methadone), quinidine–opioids (morphine, fentanyl, oxycodone, codeine, dihydrocodeine, methadone), antimycotics–opioids (buprenorphine, fentanyl, morphine, oxycodone, methadone, tilidine, tramadol), protease inhibitors–opioids (ritonavir, ritonavir/lopinavir–oxycodone, ritonavir–fentanyl, ritonavir–tilidine), grapefruit juice–opioids (oxycodone, fentanyl, methadone), antidepressants–opioids (paroxetine–tramadol, paroxetine–hydrocodone, paroxetine–oxycodone, escitalopram–tramadol), metoclopramide–morphine, amantadine–morphine, sumatriptan–butorphanol nasal sprays, ticlopidine–tramadol, St John’s wort–oxycodone, macrolides/ketolides–oxycodone, and levomepromazine–codeine. RCTs investigating the same combination, almost unanimously, drew consistent conclusions, except two RCTs on amantadine–intravenous morphine combination

  2. Updates on cytochrome P450-mediated cardiovascular drug interactions.

    PubMed

    Cheng, Judy W M; Frishman, William H; Aronow, Wilbert S

    2009-01-01

    Cytochrome P (CYP) 450 is a superfamily of hemoproteins that play an important role in the metabolism of steroid hormones, fatty acids, and many medications. Many agents used for management of cardiovascular diseases are substrates, inhibitors, or inducers of CYP450 enzymes.When two agents that are substrates, inhibitors, or inducers of CYP450 are administered together, drug interactions with significant clinical consequences may occur. This review discusses CYP450-mediated cardiovascular drug interactions as well as noncardiovascular drug interactions that produced significant cardiovascular side effects. The principles in predicting drug interactions are also discussed.

  3. Understanding and preventing drug–drug and drug–gene interactions

    PubMed Central

    Tannenbaum, Cara; Sheehan, Nancy L

    2014-01-01

    Concomitant administration of multiple drugs can lead to unanticipated drug interactions and resultant adverse drug events with their associated costs. A more thorough understanding of the different cytochrome P450 isoenzymes and drug transporters has led to new methods to try to predict and prevent clinically relevant drug interactions. There is also an increased recognition of the need to identify the impact of pharmacogenetic polymorphisms on drug interactions. More stringent regulatory requirements have evolved for industry to classify cytochrome inhibitors and inducers, test the effect of drug interactions in the presence of polymorphic enzymes, and evaluate multiple potentially interacting drugs simultaneously. In clinical practice, drug alert software programs have been developed. This review discusses drug interaction mechanisms and strategies for screening and minimizing exposure to drug interactions. We also provide future perspectives for reducing the risk of clinically significant drug interactions. PMID:24745854

  4. Reaction phenotyping to assess victim drug-drug interaction risks.

    PubMed

    Di, Li

    2017-08-18

    Reaction phenotyping provides critical information regarding the fraction metabolized (fm) of drug candidates. It has become increasingly important in drug discovery and development as it can be used to assess victim drug-drug interaction potential, guide structural modification to reduce fm, inform clinical study design, predict individual variability in pharmacokinetics, and evaluate the impact of genetic polymorphisms. Areas covered: The currently available in vitro and in vivo methods for reaction phenotyping are summarized along with their advantages, limitations and timings for application during the different stages of drug discovery and development. Challenges of reaction phenotyping for low clearance compounds, non-Cytochrome P450 (CYP) enzymes, extrahepatic contribution and atypical kinetics are highlighted and various approaches are discussed. Expert opinion: Certain areas of reaction phenotyping remain challenging with the current state of the science. In order to better define fm in this challenging space, there needs to be future advances in selective inhibitors and specific substrate reactions for non-CYP enzymes, availability of high quality and low cost recombinant enzymes, tissue distribution and in vitro-in vivo correlation, scaling factors for extrahepatic enzymes and the next generation of low clearance tools.

  5. Evacetrapib: in vitro and clinical disposition, metabolism, excretion, and assessment of drug interaction potential with strong CYP3A and CYP2C8 inhibitors

    PubMed Central

    Cannady, Ellen A; Wang, Ming-Dauh; Friedrich, Stuart; Rehmel, Jessica L F; Yi, Ping; Small, David S; Zhang, Wei; Suico, Jeffrey G

    2015-01-01

    Evacetrapib is an investigational cholesteryl ester transfer protein inhibitor (CETPi) for reduction of risk of major adverse cardiovascular events in patients with high-risk vascular disease. Understanding evacetrapib disposition, metabolism, and the potential for drug–drug interactions (DDI) may help guide prescribing recommendations. In vitro, evacetrapib metabolism was investigated with a panel of human recombinant cytochromes P450 (CYP). The disposition, metabolism, and excretion of evacetrapib following a single 100-mg oral dose of 14C-evacetrapib were determined in healthy subjects, and the pharmacokinetics of evacetrapib were evaluated in the presence of strong CYP3A or CYP2C8 inhibitors. In vitro, CYP3A was responsible for about 90% of evacetrapib's CYP-associated clearance, while CYP2C8 accounted for about 10%. In the clinical disposition study, only evacetrapib and two minor metabolites circulated in plasma. Evacetrapib metabolism was extensive. A mean of 93.1% and 2.30% of the dose was excreted in feces and urine, respectively. In clinical DDI studies, the ratios of geometric least squares means for evacetrapib with/without the CYP3A inhibitor ketoconazole were 2.37 for area under the curve (AUC)(0–∞) and 1.94 for Cmax. There was no significant difference in evacetrapib AUC(0–τ) or Cmax with/without the CYP2C8 inhibitor gemfibrozil, with ratios of 0.996 and 1.02, respectively. Although in vitro results indicated that both CYP3A and CYP2C8 metabolized evacetrapib, clinical studies confirmed that evacetrapib is primarily metabolized by CYP3A. However, given the modest increase in evacetrapib exposure and robust clinical safety profile to date, there is a low likelihood of clinically relevant DDI with concomitant use of strong CYP3A or CYP2C8 inhibitors. PMID:26516590

  6. Drug-pyridoxal phosphate interactions.

    PubMed

    Ebadi, M; Gessert, C F; Al-Sayegh, A

    1982-01-01

    In this review it has been pointed out that vitamin B6 and its vitamers can be involved in many interactions with a number of drugs, as well as with the actions of various endocrines and neurotransmitters. Nutritional deficiencies, especially of vitamins and proteins, can affect the manner in which drugs undergo biotransformation, and thereby may also modify the therapeutic efficacy of certain drugs. The differences between nutritional vitamin B6 deficiency and the hereditary disorder producing pyridoxine dependency are discussed. In addition to a pyridoxine deficiency being able to adversely affect drug actions, the improper supplementation with vitamin B6 can in some instances also adversely affect drug efficacy. A decrease by pyridoxine in the efficacy of levodopa used in the treatment of Parkinsonism is an example. The interrelationships and enzymatic interconversions among pyridoxine vitamers, both phosphorylated and non-phosphorylated, are briefly discussed, particularly regarding their pharmacokinetic properties. The ways in which the normal biochemical functions of vitamin B6 may be interfered with by various drugs are reviewed. (1) The chronic administration of isoniazid for the prevention or treatment of tuberculosis can produce peripheral neuropathy which can be prevented by the concurrent administration of pyridoxine. An acute toxic overdose of isoniazid causes generalized convulsions, and the intravenous administration of pyridoxine hydrochloride will prevent or stop these seizures. (2) The acute ingestion of excessive monosodium glutamate will, in some individuals, cause a group of symptoms including among others headache, weakness, stiffness, and heartburn, collectively known as the 'Chinese Restaurant Syndrome.' These symptoms can be prevented by prior supplementation with vitamin B6. The beneficial effect is ascribed to the correction of a deficiency in the activity of glutamic oxaloacetic transaminase, an enzyme that is dependent on pyridoxal

  7. Pharmacokinetic drug interactions involving Ginkgo biloba.

    PubMed

    Unger, Matthias

    2013-08-01

    Ginkgo biloba leaf extracts (GLEs) are popular herbal remedies for the treatment of Alzheimer's dementia, tinnitus, vertigo and peripheral arterial disease. As GLEs are taken regularly by older people who are likely to also use multiple other drugs for the treatment of, e.g. hypertension, diabetes, rheumatism or heart failure, potential herb-drug interactions are of interest. Preclinical studies of high doses/concentrations of GLEs of varying quality and standardization hinted at both an inhibition and induction of metabolic enzymes and transporters. However, in humans, positive in vitro-findings could not be replicated in vivo. At maximum recommended doses of 240 mg/day, a clinically relevant interaction potential of the standardized GLE EGb 761 could not be shown. GLE doses higher than the recommended ones led to a weak induction of the CYP2C19-mediated omeprazole 5-hydroxylation, and a weak inhibition of the CYP3A4-mediated midazolam 1'-hydroxylation, respectively. Also, the regular intake of a poorly characterized GLE at a dose of 360 mg/day slightly increased the bioavailability of talinolol, a substrate of P-glycoprotein and various organic anion-transporting polypeptides. Thus, regarding pharmacokinetic herb-drug interactions, the intake of the standardized GLE, EGb 761, together with synthetic drugs appears to be safe as long as daily doses up to 240 mg are consumed. If this applies to other extracts prepared according to the European Pharmacopoeia remains uncertain. Also, a relevant potential for drug interactions cannot be excluded for poorly standardized GLEs used in many food supplements.

  8. Drug-drug Interaction Discovery Using Abstraction Networks for "National Drug File - Reference Terminology" Chemical Ingredients.

    PubMed

    Ochs, Christopher; Zheng, Ling; Gu, Huanying; Perl, Yehoshua; Geller, James; Kapusnik-Uner, Joan; Zakharchenko, Aleksandr

    2015-01-01

    The National Drug File - Reference Terminology (NDF-RT) is a large and complex drug terminology. NDF-RT provides important information about clinical drugs, e.g., their chemical ingredients, mechanisms of action, dosage form and physiological effects. Within NDF-RT such information is represented using tens of thousands of roles. It is difficult to comprehend large, complex terminologies like NDF-RT. In previous studies, we introduced abstraction networks to summarize the content and structure of terminologies. In this paper, we introduce the Ingredient Abstraction Network to summarize NDF-RT's Chemical Ingredients and their associated drugs. Additionally, we introduce the Aggregate Ingredient Abstraction Network, for controlling the granularity of summarization provided by the Ingredient Abstraction Network. The Ingredient Abstraction Network is used to support the discovery of new candidate drug-drug interactions (DDIs) not appearing in First Databank, Inc.'s DDI knowledgebase.

  9. In vitro and clinical evaluation of OATP-mediated drug interaction potential of sacubitril/valsartan (LCZ696).

    PubMed

    Ayalasomayajula, S; Han, Y; Langenickel, T; Malcolm, K; Zhou, W; Hanna, I; Alexander, N; Natrillo, A; Goswami, B; Hinder, M; Sunkara, G

    2016-08-01

    Sacubitril/valsartan (LCZ696) has been recently approved for the treatment of heart failure (HF) patients with reduced ejection fraction. Several HF patients receive statins as co-medication. Because clearance of statins is meditated via OATP1B1/1B3, the inhibition potential of these transporters by LCZ696 analytes was evaluated in vitro. Furthermore, an open-label, fixed-sequence clinical study was conducted to determine the effect of LCZ696 on the exposure of simvastatin and its active metabolite simvastatin acid. In this clinical study, 26 healthy subjects received simvastatin 40 mg alone or in combination with LCZ696 or after 1 or 2 h of LCZ696 dosing. Although no significant inhibition by LBQ657 (an active metabolite of sacubitril) and valsartan was observed, sacubitril inhibited OATP1B1 and OATP1B3 in vitro, with IC50 of 1·91 and 3·81 μm, respectively. Upon co-administration of simvastatin with LCZ696, the Cmax of simvastatin and simvastatin acid decreased by 7% and 13%, respectively. When administered 1 h after LCZ696 dosing, the corresponding Cmax of simvastatin and simvastatin acid decreased by 16% and 4%, respectively. When administered 2 h after LCZ696 dosing, the Cmax of simvastatin decreased by 33% and that of simvastatin acid increased by 16%. However, no notable changes were observed in the AUCs of simvastatin or simvastatin acid upon co-administration or time-separated administration with LCZ696. No notable impact of simvastatin co-administration was observed on the pharmacokinetics of LCZ696 analytes. LCZ696 and simvastatin were generally well tolerated when administered alone or in combination. Overall, the results of this study suggest that although sacubitril inhibited OATP1B1 and OATP1B3 in vitro, it does not translate into any clinically relevant in vivo effect. © 2016 John Wiley & Sons Ltd.

  10. Clinical heterogeneity of drug hypersensitivity.

    PubMed

    Roujeau, Jean-Claude

    2005-04-15

    Skin is the most frequent target of drug reactions that are reported, may be because they are easily detected. Most (probably more than 90%) are related to drug hypersensitivity, i.e. an individually tailored, unexpected effect mediated by a drug specific activation of the immune response. The clinical presentation of "drug eruptions" is highly variable, from the most common transient and benign erythema that occurs 6-9 days after the introduction of a new drug in 1 to 3 % of users to the most severe forms, that fortunately affect less than 1/10,000 users. Even though there are some overlapping or unclassifiable cases, it is important for clinicians to recognize and categorize severe cutaneous adverse reactions/SCAR (bullous fixed drug eruptions/bFDE, acute generalized exanthematous pustulosis/AGEP, drug reaction with eosinophilia and systemic symptoms/DRESS, Stevens-Johnson syndrome/SJS, toxic epidermal necrolysis/TEN). First they must suspect rapidly that an unusual eruption with high fever and severe constitutional symptoms is caused by a medication and not by an infection. Second they have to look for involvement of organs that differ according to the type of reaction. Third they can determine a prognosis, the mortality rate being virtually 0 for bFDE, 5% for AGEP, 10% for "hypersensitivity syndrome"/DRESS and 25% for SJS or TEN. In addition if some medications are "usual suspects" for all types (e.g. anticonvulsants), some other are more specific of a given pattern (pristinamycine, hydroxychloroquine, diltiazem for AGEP, minocycline for DRESS, anti-infectious sulfonamides, allopurinol for epidermal necrolysis). The "phenotypic" diversity of the final expression drug reactions can be explained by the engagement of a variety of cytokines and inflammatory cells and by regulatory mechanisms. For example, memory cytotoxic T-Cells are key effectors in both localized blisters of bFDE and in extensive blisters of epidermal necrolysis.

  11. Potential intravenous drug interactions in intensive care.

    PubMed

    Moreira, Maiara Benevides; Mesquita, Maria Gefé da Rosa; Stipp, Marluci Andrade Conceição; Paes, Graciele Oroski

    2017-07-20

    To analyze potential intravenous drug interactions, and their level of severity associated with the administration of these drugs based on the prescriptions of an intensive care unit. Quantitative study, with aretrospective exploratory design, and descriptive statistical analysis of the ICU prescriptions of a teaching hospital from March to June 2014. The sample consisted of 319 prescriptions and subsamples of 50 prescriptions. The mean number of drugs per patient was 9.3 records, and a higher probability of drug interaction inherent to polypharmacy was evidenced. The study identified severe drug interactions, such as concomitant administration of Tramadol with selective serotonin reuptake inhibitor drugs (e.g., Metoclopramide and Fluconazole), increasing the risk of seizures due to their epileptogenic actions, as well as the simultaneous use of Ranitidine-Fentanyl®, which can lead to respiratory depression. A previous mapping of prescriptions enables the characterization of the drug therapy, contributing to prevent potential drug interactions and their clinical consequences. Analisar as potenciais interações medicamentosas intravenosas e seu grau de severidade associadas à administração desses medicamentos a partir das prescrições do Centro de Terapia Intensiva. Estudo quantitativo, tipologia retrospectiva exploratória, com análise estatística descritiva das prescrições medicamentosas do Centro de Terapia Intensiva de um Hospital Universitário, no período de março-junho/2014. A amostra foi composta de 319 prescrições e subamostras de 50 prescrições. Constatou-se que a média de medicamentos por paciente foi de 9,3 registros, e evidenciou-se maior probabilidade para ocorrência de interação medicamentosa inerente à polifarmácia. O estudo identificou interações medicamentosas graves, como a administração concomitante de Tramadol com medicamentos inibidores seletivos da recaptação da serotonina, (exemplo: Metoclopramida e Fluconazol

  12. Assessment tool for pharmacy drug-drug interaction software.

    PubMed

    Warholak, Terri L; Hines, Lisa E; Saverno, Kim R; Grizzle, Amy J; Malone, Daniel C

    2011-01-01

    To assess the performance of pharmacy clinical decision support (CDS) systems for drug-drug interaction (DDI) detection and to identify approaches for improving the ability to recognize important DDIs. Pharmacists rely on CDS systems to assist in the identification of DDIs, and research suggests that these systems perform suboptimally. The software evaluation tool described here may be used in all pharmacy settings that use electronic decision support to detect potential DDIs, including large and small community chain pharmacies, community independent pharmacies, hospital pharmacies, and governmental facility pharmacies. A tool is provided to determine the ability of pharmacy CDS systems to identify established DDIs. It can be adapted to evaluate potential DDIs that reflect local practice patterns and patient safety priorities. Beyond assessing software performance, going through the evaluation processes creates the opportunity to evaluate inadequacies in policies, procedures, workflow, and training of all pharmacy staff relating to pharmacy information systems and DDIs. The DDI evaluation tool can be used to assess pharmacy information systems' ability to recognize relevant DDIs. Suggestions for improvement include determining whether the software allows for customization, creating standard policies for handling specific interactions, and ensuring that drug knowledge database updates occur frequently.

  13. Frovatriptan: a review of drug-drug interactions.

    PubMed

    Buchan, P; Wade, A; Ward, C; Oliver, S D; Stewart, A J; Freestone, S

    2002-04-01

    To investigate the potential for interactions involving drugs likely to be coadministered with frovatriptan. Frovatriptan is a new 5-hydroxytryptamine (5-HT)(1B/1D) agonist. Preclinical data suggest that the pharmacokinetic and pharmacological profile of frovatriptan may differ from that of the currently available triptans. The potential for interactions between frovatriptan and other drugs was investigated using in vitro methods, studies in healthy volunteers, and retrospective analysis of data from phase I trials. In vitro, frovatriptan was principally metabolized by cytochrome P-450 (CYP) 1A2 but was found not to be an inhibitor or inducer of this or other CYP isoenzymes. Frovatriptan was only a weak inhibitor of monoamine oxidase at very high concentrations in vitro and was not a substrate for this enzyme (unlike some other triptans). Coadministration with moclobemide, at doses known to inhibit monoamine oxidase-A, did not affect the pharmacokinetics of frovatriptan. Binding to plasma proteins was low (15%), and binding to erythrocytes was moderate (60%) and unlikely to be a source of interaction with other drugs. The pharmacokinetics of frovatriptan were not affected by moderate alcohol intake. There were slight increases in area under the curve and maximum concentration on concomitant administration with the combined oral contraceptives, propranolol, and fluvoxamine; and slight decreases in these parameters on concomitant administration with ergotamine and in tobacco smokers; these findings were considered to have no clinical significance in view of frovatriptan's large therapeutic index (well tolerated at doses ranging from 2.5 to 40 mg). These effects can be attributed primarily to modification of CYP1A2 activity but their impact is limited, probably due to frovatriptan also undergoing renal clearance and the likely role of blood cell binding in controlling the amount of unbound drug available for elimination. Because it has no inhibitory or inducing effect

  14. Drug interactions with tobacco smoking. An update.

    PubMed

    Zevin, S; Benowitz, N L

    1999-06-01

    Cigarette smoking remains highly prevalent in most countries. It can affect drug therapy by both pharmacokinetic and pharmacodynamic mechanisms. Enzymes induced by tobacco smoking may also increase the risk of cancer by enhancing the metabolic activation of carcinogens. Polycyclic aromatic hydrocarbons in tobacco smoke are believed to be responsible for the induction of cytochrome P450 (CYP) 1A1, CYP1A2 and possibly CYP2E1, CYP1A1 is primarily an extrahepatic enzyme found in lung and placenta. There are genetic polymorphisms in the inducibility of CYP1A1, with some evidence that high inducibility is more common in patients with lung cancer. CYP1A2 is a hepatic enzyme responsible for the metabolism of a number of drugs and activation of some procarcinogens. Caffeine demethylation, using blood clearance or urine metabolite data, has been used as an in vivo marker of CYP1A2 activity, clearly demonstrating an effect of cigarette smoking, CYP2E1 metabolises a number of drugs as well as activating some carcinogens. Our laboratory has found in an intraindividual study that cigarette smoking significantly enhances CYP2E1 activity as measured by the clearance of chlorzoxazone. In animal studies, nicotine induces the activity of several enzymes, including CYP2E1, CYP2A1/2A2 and CYP2B1/2B2, in the brain, but whether this effect is clinically significant is unknown. Similarly, although inhibitory effects of the smoke constituents carbon monoxide and cadmium on CYP enzymes have been observed in vitro and in animal studies, the relevance of this inhibition to humans has not yet been established. The mechanism involved in most interactions between cigarette smoking and drugs involves the induction of metabolism. Drugs for which induced metabolism because of cigarette smoking may have clinical consequence include theophylline, caffeine, tacrine, imipramine, haloperidol, pentazocine, propranolol, flecainide and estradiol. Cigarette smoking results in faster clearance of heparin

  15. Quantifying drug-drug interactions in pharmaco-EEG.

    PubMed

    Barbanoj, M J; Antonijoan, R M; Riba, J; Valle, M; Romero, S; Jané, F

    2006-04-01

    A drug interaction refers to an event in which the usual pharmacological effect of a drug is modified by other factors, most frequently additional drugs. When two drugs are administered simultaneously, or within a short time of each other, an interaction can occur that may increase or decrease the intended magnitude or duration of the effect of one or both drugs. Drugs may interact on a pharmaceutical, pharmacokinetic or pharmacodynamic basis. Pharmacodynamic interactions arise when the alteration of the effects occurs at the site of action. This is a wide field where not only interactions between different drugs are considered but also drug and metabolites (midazolam/alpha-hydroxy-midazolam), enantiomers (ketamine), as well as phenomena such as tolerance (nordiazepam) and sensitization (diazepam). Pharmacodynamic interactions can result in antagonism or synergism and can originate at a receptor level (antagonism, partial agonism, down-regulation, up-regulation), at an intraneuronal level (transduction, uptake), or at an interneuronal level (physiological pathways). Alternatively, psychotropic drug interactions assessed through quantitative pharmaco-EEG can be viewed according to the broad underlying objective of the study: safety-oriented (ketoprofen/theophylline, lorazepam/diphenhydramine, granisetron/haloperidol), strictly pharmacologically-oriented (benzodiazepine receptors), or broadly neuro-physiologically-oriented (diazepam/buspirone). Methodological issues are stressed, particularly drug plasma concentrations, dose-response relationships and time-course of effects (fluoxetine/buspirone), and unsolved questions are addressed (yohimbine/caffeine, hydroxizyne/alcohol).

  16. Potential cytochrome P-450 drug–drug interactions in adults with metastatic solid tumors and effect on eligibility for Phase I clinical trials

    PubMed Central

    Wisinski, Kari B.; Cantu, Colby A.; Eickhoff, Jens; Osterby, Kurt; Tevaarwerk, Amye J.; Heideman, Jennifer; Liu, Glenn; Wilding, George; Johnston, Susan; Kolesar, Jill M.

    2015-01-01

    Purpose Potential cytochrome P-450 (CYP) drug–drug interactions in adults with metastatic solid tumors and their effect on eligibility for Phase I clinical trials were characterized. Methods This study included adult patients with metastatic solid tumors seen by a medical oncologist from January 2008 through July 2011. The medications used by these patients were identified. Each medication's potential for interacting with CYP isozymes was also characterized. Medication changes required to meet Phase I trial eligibility criteria were also reviewed. Results Data from 1773 patients were analyzed: 1489 were not enrolled in a Phase I trial and 284 were enrolled in a Phase I trial. Polypharmacy was significantly more prevalent in the group enrolled in a Phase I trial compared with those not enrolled (95% versus 80%, p < 0.001). The majority of patients not enrolled in a Phase I trial were taking at least one CYP isozyme inhibitor (87%) and at least one CYP isozyme inducer (45%). In a separate analysis, four Phase I trials were evaluated. Of 295 screened patients, 3.2% could not enroll due to concurrent medications. Charts from 74 enrolled patients revealed 655 concurrent medications—93 medications required further review for eligibility involving 51 (69%) of patients. Of the 93 medications, 38 (41%) were stopped and 41 (44%) were changed for the study. Conclusion Polypharmacy and the use of medications that interact with CYP isoyzmes were common in adult patients with metastatic solid tumors. Patients enrolling in Phase I studies often require medication changes to meet eligibility requirements. PMID:25987691

  17. [Evaluation of pharmacokinetic drug-drug-interactions. Critical considerations of the relevance of pharmacokinetic drug-drug interactions of proton pump inhibitors in self medication].

    PubMed

    Petersen, Karl-Uwe

    2011-08-01

    Mechanisms and evaluation of pharmacokinetic drug interactions are discussed in general, including mechanisms beyond the hepatic phase-I reactions, and especially for the example of proton pump inhibitors (PPI), preferentially omeprazole. Particular attention is paid to the use of PPI as self-prescribed drugs. The sequelae of pharmacokinetic drug interactions can be serious. However, only the evidence of clinical consequences will convert such an interaction from a laboratory finding into a possible adverse effect. Without this, interacting drugs can still be co-administered if the specific characteristics of the concerned drugs, quantitative aspects of the interaction, and especially severity and frequency of possible clinical correlates are taken into consideration. It is encouraging that the laboratory findings reported for the PPI--in vitro or ex vivo from volunteer studies--have hardly found equivalents in clinical consequences. As of today, this is also true of the widely discussed interaction with clopidogrel. Regarding the safety of use of PPI as self-prescribed drugs, it also needs to be emphasized that a sizable number of interactions reported for omeprazole and/or pantoprazole were observed at higher dose levels than the 20 mg licensed for self medication. In conjunction with the temporal limitation of PPI self-prescription (14 days), it can be expected that pharmacokinetic drug interactions will generally be no critical factor in the usage of PPI in self-medication. However clinically relevant interactions can occur, e.g. when PPI are combined with extracts from St. John's wort, methotrexat or some inhibitors of HIV-protease with pH-dependent absorption.

  18. No Clinically Relevant Drug-Drug Interactions Between Methadone or Buprenorphine/Naloxone and Anti-Viral Combination Glecaprevir and Pibrentasvir.

    PubMed

    Kosloski, Matthew; Zhao, Weihan; Asatryan, Armen; Kort, Jens; Geoffroy, Pierre; Liu, Wei

    2017-08-14

    The combination of glecaprevir (formerly ABT-493), a nonstructural (NS) protein 3/4A protease inhibitor, and pibrentasvir (formerly ABT-530), a NS5A protein inhibitor, is being developed as treatment for HCV genotype 1-6 infection. The pharmacokinetics, pharmacodynamics, safety, and tolerability of methadone or buprenorphine/naloxone when coadministered with the glecaprevir and pibrentasvir combination in HCV-negative subjects on stable opioid maintenance therapy were investigated in a Phase 1, single-center, two-arm, multiple-dose, open-label sequential study. Subjects received methadone (Arm 1) or buprenorphine/naloxone (Arm 2) once daily (QD) as per their existing individual prescriptions alone (days 1-9) and then in combination with glecaprevir 300 mg QD and pibrentasvir120 mg QD (days 10-16) each morning. Dose-normalized exposures were similar with and without glecaprevir and pibrentasvir for R- and S- methadone (≤ 5% difference) and for buprenorphine and naloxone (≤ 24% difference); norbuprenorphine area under the curve was 30% higher, consistent with maximum and trough plasma concentrations that increased by 21% to 25%. No changes in pupil response, short opiate withdrawal scale, or desire for drugs questionnaire were observed when glecaprevir and pibrentasvir were added to methadone or buprenorphine/naloxone therapy. No dose adjustment is required when glecaprevir and pibrentasvir are coadministered with methadone or buprenorphine/naloxone. Copyright © 2017 American Society for Microbiology.

  19. HIV Treatment: What is a Drug Interaction?

    MedlinePlus

    ... HIV/AIDS-related drugs, including information on drug interactions. This fact sheet is based on information from the following sources: From the U.S. Department of Health and Human Services: Guidelines for the Use of Antiretroviral Agents ...

  20. Pharmacokinetic interactions between herbal medicines and prescribed drugs: focus on drug metabolic enzymes and transporters.

    PubMed

    Meng, Qiang; Liu, Kexin

    2014-01-01

    Herbal medicines have been widely used for thousands of years, and now are gaining continued popularity worldwide as a complementary or alternative treatment for a variety of diseases, rehabilitation and health care. Since herbal medicines contain more than one pharmacologically active ingredient and are commonly used with many prescribed drugs, there are potential herb-drug interactions. A variety of reported herb-drug interactions are of pharmacokinetic origin, arising from the effects of herbal medicines on metabolic enzymes and/or transporters. Such an alteration in metabolism or transport can result in changes in absorption, distribution, metabolism, and excretion (e.g., induction or inhibition of metabolic enzymes, and modulation of uptake and efflux transporters), leading to changed pharmacokinetics of the concomitantly prescribed drugs. Pharmacokinetic herb-drug interactions have more clinical significance as pharmacokinetic parameters such as the area under the plasma concentration-time curve (AUC), the maximum plasma concentration (Cmax) or the elimination half-life (t1/2) of the concomitant drug alter. This review summarizes the mechanism underlying herb-drug interactions and the approaches to identify the interactions, and discusses pharmacokinetic interactions of eight widely used herbal medicines (Ginkgo biloba, ginseng, garlic, black cohosh, Echinacea, milk thistle, kava, and St. John's wort) with conventional drugs, using various in vitro, animal in vivo, and clinical studies. The increasing understanding of pharmacokinetic herb-drug interactions will make health care professionals and patients pay more attention to the potential interactions.

  1. An adverse drug interaction of haloperidol with levodopa.

    PubMed

    Lucca, Jisha M; Ramesh, Madhan; Parthasarathi, Gurumurthy; Raman, Rajesh

    2015-01-01

    Drug interactions are known to play a significant role in the incidence of adverse drug reactions (ADRs) both in the community and in hospitals. Both the newer atypical antipsychotics and their more traditional counterparts are subject to drug - drug interactions amongst themselves, with other psychotropics, and with the agents used in the treatment of various physical ailments. The most common interactions encountered in clinical practice are pharmacodynamic in nature. It is well established that antipsychotic drugs reduce the efficacy of levodopa in parkinson's disease by blockade of dopamine receptors in the corpus striatum. The case reported here illustrates a common pharmacodynamic drug interaction of haloperidol with levodopa in a 60-year-old female patient.

  2. Text Mining for Drug–Drug Interaction

    PubMed Central

    Wu, Heng-Yi; Chiang, Chien-Wei; Li, Lang

    2015-01-01

    In order to understand the mechanisms of drug–drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases. To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis. The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions. PMID:24788261

  3. Drug interaction in the emergency service

    PubMed Central

    Okuno, Meiry Fernanda Pinto; Cintra, Raíssa Silveira; Vancini-Campanharo, Cássia Regina; Batista, Ruth Ester Assayag

    2013-01-01

    ABSTRACT Objective: To identify the occurrence of potential drug interactions in prescriptions for adult patients admitted to the Emergency Department of Hospital São Paulo. Methods: A cross-sectional and descriptive study. Its sample consisted of 200 medical prescriptions. The analysis of drug interactions was performed using the Drugs.com database, where they are classified according to severity of interaction as severe, moderate, mild and without interaction. Results: The number of drugs in prescriptions ranged from 2 to 19, and the average per prescription was 4.97 drugs. A total of 526 potential drug interactions were identified in 159 prescriptions (79.5%); in that, 109 were severe, 354 moderate, 63 mild interactions, and 41 showed no interaction. Conclusion: This study demonstrated potential drug interactions in 79.5% of prescriptions examined in the Emergency Department. Drug interactions can occur at any time when using medications and, during this working process, the nursing staff is involved in several steps. Therefore, training the nursing staff for the rational use of drugs can increase safety of care delivered to patients. PMID:24488385

  4. Interactions between drugs and occupied receptors.

    PubMed

    Tallarida, Ronald J

    2007-01-01

    This review has 2 parts. Part I deals with isobolographic procedures that are traditionally applied to the joint action of agonists that individually produce overtly similar effects. Special attention is directed to newer computational procedures that apply to agonists with dissimilar concentration-effect curves. These newer procedures are consistent with the isobolographic methods introduced and used by Loewe, however, the present communications provides the needed graphical and mathematical detail. A major aim is distinguishing super and sub-addictive interactions from those that are simply additive. The detection and measurement of an interaction is an important step in exploring drug mechanism and is also important clinically. Part II discusses a new use of isoboles that is applicable to a single drug or chemical whose effect is mediated by 2 or more receptor subtypes. This application produces a metric that characterizes the interaction between the receptor subtypes. The expansion of traditional isobolographic theory to this multi-receptor situation follows from the newer approaches for 2-drug combination analysis in Part I. This topic leads naturally to a re-examination of competitive antagonism and the classic Schild plot. In particular, it is shown here that the Schild plot in the multi-receptor case is not necessarily linear with unit slope. Both parts of this review emphasize the quantitative aspects rather than the many drugs that have been analyzed with isobolographic methods. The mathematical exposition is rather elementary and is further aided by several graphs. An appendix is included for the reader interested in the mathematical details.

  5. Drug interactions involving antiepileptic drugs: assessment of the consistency among three drug compendia and FDA-approved labels.

    PubMed

    Ekstein, Dana; Tirosh, Matanya; Eyal, Yonatan; Eyal, Sara

    2015-03-01

    Interactions of antiepileptic drugs (AEDs) with other substances may lead to adverse effects and treatment failure. To avoid such interactions, clinicians often rely on drug interaction compendia. Our objective was to compare the concordance for twenty-two AEDs among three drug interaction compendia (Micromedex, Lexi-Interact, and Clinical Pharmacology) and the US Food and Drug Administration-approved product labels. For each AED, the overall concordance among data sources regarding existence of interactions and their classification was poor, with less than twenty percent of interactions listed in all four sources. Concordance among the three drug compendia decreased with the fraction of the drug excreted unchanged and was greater for established inducers of hepatic drug-metabolizing enzymes than for the drugs that are not inducers (R-square=0.83, P<0.01). For interactions classified as contraindications, major, and severe, concordance among the four data sources was, in most cases, less than 30%. Prescribers should be aware of the differences between drug interaction sources of information for both older AEDs and newer AEDs, in particular for those AEDs which are not involved in hepatic enzyme-mediated interactions. Copyright © 2015 Elsevier Inc. All rights reserved.

  6. Our knowledge of drug interactions with oral contraceptives.

    PubMed

    Seregély, G

    1989-01-01

    In the introduction the author points out the importance, mechanism and consequence of interactions between oral contraceptives and other drugs. The interactions between certain drugs with different pharmacological action and the contraceptive tablets which decrease or increase the contraceptive effect as well as the drugs whose effect may be influenced by the contraceptive tablets have been discussed. Cases in which only a few data refer to, or no clinical proof supports interaction, are also mentioned. According to interactions observed until present in women taking Anteovin, the recommended measures to be taken in these cases have been described. Finally it has been emphasized that the knowledge of interactions between drugs is just as important in family planning counselling as is when prescribing other drug treatments.

  7. Drug-drug and food-drug pharmacokinetic interactions with new insulinotropic agents repaglinide and nateglinide.

    PubMed

    Scheen, André J

    2007-01-01

    This review describes the current knowledge on drug-drug and food-drug interactions with repaglinide and nateglinide. These two meglitinide derivatives, commonly called glinides, have been developed for improving insulin secretion of patients with type 2 diabetes mellitus. They are increasingly used either in monotherapy or in combination with other oral antihyperglycaemic agents for the treatment of type 2 diabetes. Compared with sulfonylureas, glinides have been shown to (i) provide a better control of postprandial hyperglycaemia, (ii) overcome some adverse effects, such as hypoglycaemia, and (iii) have a more favourable safety profile, especially in patients with renal failure. The meal-related timing of administration of glinides and the potential influence of food and meal composition on their bioavailability may be important. In addition, some food components (e.g. grapefruit juice) may cause pharmacokinetic interactions. Because glinides are metabolised via cytochrome P450 (CYP) 3A4 isoenzyme, they are indeed exposed to pharmacokinetic interactions. In addition to CYP3A4, repaglinide is metabolised via CYP2C8, while nateglinide metabolism also involves CYP2C9. Furthermore, both compounds and their metabolites may undergo specialised transport/uptake in the intestine, another source of pharmacokinetic interactions. Clinically relevant drug-drug interactions are those that occur when glinides are administered together with other glucose-lowering agents or compounds widely coadministered to diabetic patients (e.g. lipid-lowering agents), with drugs that are known to induce (risk of lower glinide plasma levels and thus of deterioration of glucose control) or inhibit (risk of higher glinide plasma levels leading to hypoglycaemia) CYP isoenzymes concerned in their metabolism, or with drugs that have a narrow efficacy : toxicity ratio. Pharmacokinetic interactions reported in the literature appear to be more frequent and more important with repaglinide than with

  8. A clinician's guide to statin drug-drug interactions.

    PubMed

    Kellick, Kenneth A; Bottorff, Michael; Toth, Peter P; The National Lipid Association's Safety Task Force

    2014-01-01

    The statins are widely used worldwide to reduce risk for cardiovascular events in both the primary and secondary prevention settings. Although generally quite safe, the statins can be associated with a variety of serious side adverse effects, including myalgia, myopathy, and changes in plasma enzymes of hepatic origin. Although rare, the most serious of these is rhabdomyolysis. Several drugs can interfere with the metabolism and disposal of the statins, thereby increasing risk for adverse events. It is important that clinicians treating patients with statins be aware of the potential for drug-drug interactions between each statin and specific other drugs and take measures to prevent them. The prediction of potential drug-drug interactions derives from basic pharmacokinetic principles. Certain drug interactions are predicted by measuring the effect of interacting drugs on blood plasma concentrations of the statin. Individual patient variations resulting in part from polymorphisms in the metabolizing enzymes confound some of these predictions. Based on these known effects, a new classification for predicting statin drug interactions is proposed. This report discusses likely prescription and nonprescription interactions as well as potential alternatives for special populations.

  9. pH-dependent drug-drug interactions for weak base drugs: potential implications for new drug development.

    PubMed

    Zhang, L; Wu, F; Lee, S C; Zhao, H; Zhang, L

    2014-08-01

    Absorption of an orally administered drug with pH-dependent solubility may be altered when it is coadministered with a gastric acid-reducing agent (ARA). Assessing a drug's potential for pH-dependent drug-drug interactions (DDIs), considering study design elements for such DDI studies, and interpreting and communicating study results in the drug labeling to guide drug dosing are important for drug development. We collected pertinent information related to new molecular entities approved from January 2003 to May 2013 by the US Food and Drug Administration for which clinical DDI studies with ARAs were performed. On the basis of assessments of data on pH solubility and in vivo DDIs with ARAs, we proposed a conceptual framework for assessing the need for clinical pH-dependent DDI studies for weak base drugs (WBDs). Important study design considerations include selection of ARAs and timing of dosing of an ARA relative to the WBD in a DDI study. Labeling implications for drugs having DDIs with ARAs are also illustrated.

  10. [Interactions of cytostatic agents with other drugs].

    PubMed

    Sauter, C

    1991-08-31

    With the degree of polypharmacy currently practiced in the field of oncology, there are undoubtedly many drug interactions. In the present study the influence of "non-cytotoxic" drugs on anticancer drugs is discussed, but not the reverse. Not only is the augmentation (reversal of multidrug resistance) or the reduction of antitumor properties of cytotoxic drugs observed, but also cytostatic activities of "non-cytotoxic" drugs themselves. Examples are calmodulin inhibitors such as phenothiazines and tricyclic antidepressants. Interactions may also increase side effects of cytostatic drugs or even neutralize the antitumoral activity. To ensure that interactions are not overlooked, all medicaments being administered should be listed. It is, however, not feasible yet to determine serum concentrations of all the drugs given to the patient. The antitumor activity of supportive care could be evaluated in randomized studies (e.g. cytostatic drugs +/- antidepressants).

  11. Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism.

    PubMed

    Tari, Luis; Anwar, Saadat; Liang, Shanshan; Cai, James; Baral, Chitta

    2010-09-15

    Identifying drug-drug interactions (DDIs) is a critical process in drug administration and drug development. Clinical support tools often provide comprehensive lists of DDIs, but they usually lack the supporting scientific evidences and different tools can return inconsistent results. In this article, we propose a novel approach that integrates text mining and automated reasoning to derive DDIs. Through the extraction of various facts of drug metabolism, not only the DDIs that are explicitly mentioned in text can be extracted but also the potential interactions that can be inferred by reasoning. Our approach was able to find several potential DDIs that are not present in DrugBank. We manually evaluated these interactions based on their supporting evidences, and our analysis revealed that 81.3% of these interactions are determined to be correct. This suggests that our approach can uncover potential DDIs with scientific evidences explaining the mechanism of the interactions.

  12. Prevalence and Correlates of Drug-drug Interactions in the Regional Hospital of Gjilan, Kosovo.

    PubMed

    Shabani, Driton; Tahiri, Zejdush; Bara, Petrit; Hudhra, Klejda; Malaj, Ledian; Jucja, Besnik; Bozalia, Adnan; Burazeri, Genc

    2014-08-01

    Our aim was to assess the prevalence and socioeconomic and clinical correlates of drug-drug interactions among the adult population of transitional Kosovo. A cross-sectional study was conducted including a representative sample of 1921 patients aged ≥18 years (mean age: 57.8±11.2 years; 50.3% women; overall response: 96%) from the regional hospital of Gjilan, Kosovo, during 2011-2013. Potential drug-drug-interactions were assessed and clinical data as well as demographic and socioeconomic information were collected. Binary logistic regression was used to assess the correlates of drug-drug interactions. Upon multivariable adjustment for all the demographic and socioeconomic factors as well as the clinical characteristics, drug-drug interactions were positively and significantly related to older age (OR=2.1, 95%CI=1.3-2.8), a lower educational attainment (OR=1.4, 95%CI=1.1-1.9), a longer hospitalization period (OR=2.7, 95%CI=2.1-3.6), presence of three groups of diseases [infectious diseases (OR=1.7, 95%CI=1.3-2.4), cardiovascular diseases (OR=1.8, 95%CI=1.4-2.6), respiratory diseases (OR=1.6, 95%CI=1.2-2.5)], presence of comorbid conditions (OR=3.2, 95%CI=2.3-4.4) and an intake of at least four drugs (OR=5.9, 95%CI=4.6-7.1). Our study provides important evidence on the prevalence and socioeconomic and clinical correlates of drug-drug interactions among the hospitalized patients in the regional hospital of Gjilan, Kosovo. Findings from our study should raise the awareness of decision-makers and policy makers about the prevalence and determinants of drug-drug interactions in the adult population of post-war Kosovo.

  13. Prevalence and Correlates of Drug-drug Interactions in the Regional Hospital of Gjilan, Kosovo

    PubMed Central

    Shabani, Driton; Tahiri, Zejdush; Bara, Petrit; Hudhra, Klejda; Malaj, Ledian; Jucja, Besnik; Bozalia, Adnan; Burazeri, Genc

    2014-01-01

    Aim: Our aim was to assess the prevalence and socioeconomic and clinical correlates of drug-drug interactions among the adult population of transitional Kosovo. Methods: A cross-sectional study was conducted including a representative sample of 1921 patients aged ≥18 years (mean age: 57.8±11.2 years; 50.3% women; overall response: 96%) from the regional hospital of Gjilan, Kosovo, during 2011-2013. Potential drug-drug-interactions were assessed and clinical data as well as demographic and socioeconomic information were collected. Binary logistic regression was used to assess the correlates of drug-drug interactions. Results: Upon multivariable adjustment for all the demographic and socioeconomic factors as well as the clinical characteristics, drug-drug interactions were positively and significantly related to older age (OR=2.1, 95%CI=1.3-2.8), a lower educational attainment (OR=1.4, 95%CI=1.1-1.9), a longer hospitalization period (OR=2.7, 95%CI=2.1-3.6), presence of three groups of diseases [infectious diseases (OR=1.7, 95%CI=1.3-2.4), cardiovascular diseases (OR=1.8, 95%CI=1.4-2.6), respiratory diseases (OR=1.6, 95%CI=1.2-2.5)], presence of comorbid conditions (OR=3.2, 95%CI=2.3-4.4) and an intake of at least four drugs (OR=5.9, 95%CI=4.6-7.1). Conclusions: Our study provides important evidence on the prevalence and socioeconomic and clinical correlates of drug-drug interactions among the hospitalized patients in the regional hospital of Gjilan, Kosovo. Findings from our study should raise the awareness of decision-makers and policy makers about the prevalence and determinants of drug-drug interactions in the adult population of post-war Kosovo. PMID:25395892

  14. Herb-drug, food-drug, nutrient-drug, and drug-drug interactions: mechanisms involved and their medical implications.

    PubMed

    Sørensen, Janina Maria

    2002-06-01

    Adverse drug reactions (ADRs) and iatrogenic diseases have been identified as significant factors responsible for patient morbidity and mortality. Significant studies on drug metabolism in humans have been published during the last few years, offering a deeper comprehension of the mechanisms underlying adverse drug reactions and interactions. More understanding of these mechanisms, and of recent advances in laboratory technology, can help to evaluate potential drug interactions when drugs are prescribed concurrently. Increasing knowledge of interindividual variation in drug breakdown capacity and recent findings concerning the influence of environment, diet, nutrients, and herbal products can be used to reduce ADRs and iatrogenic diseases. Reviewed data suggest that drug treatment should be increasingly custom tailored to suit the individual patient and that appropriately co-prescribed diet and herbal remedies, could increase drug efficacy and lessen drug toxicity. This review focuses mainly on recently published research material. The cytochrome p450 enzymes, their role in metabolism, and their mechanisms of action are reviewed, and their role in drug-drug interactions are discussed. Drug-food and drug-herb interactions have garnered attention. Interdisciplinary communication among medical herbalists, medical doctors, and dietetic experts needs to be improved and encouraged. Internet resources for obtaining current information regarding drug-drug, drug-herb, and drug-nutrient interactions are provided.

  15. Profile of drug interactions in hospitalized children

    PubMed Central

    Martinbiancho, Jacqueline; Zuckermann, Joice; Dos Santos, Luciana; Silva, Mariane M.

    Introduction The expected therapeutic response may be affected by the presence of drug interactions. With the high number of reports on new drug interactions, it has been difficult for health professionals to keep constantly updated. For this reason, computer systems have helped identify such interactions. Objectives To verify the rate and profile of drug interactions in medical prescriptions to hospitalized pediatric patients. Methods A descriptive study investigated prescriptions to hospitalized pediatric patients. The study included patients between 0 and 12 years old, containing 4 or more drugs in their prescriptions. The analysis of interaction and incompatibility possibilities in prescribed drugs used Micromedex / Drug-Reax® program. Results From 2005 to 2006, 3,170 patients were investigated, and 11,181 prescriptions were analyzed, a mean value of 3.5 prescriptions/patient. In total, 6,857 drug interactions were found, which corresponds to 1.9 interaction/prescription. Among them, relevance to ampicillin and gentamicin, found in 220 (3.2%) prescriptions. In total, 2,411 drug incompatibilities in via y were found, a mean value of 0.5/prescription, with emphasis on vancomycin and cefepime, found in 243 (10.0%) prescriptions. Conclusion The presence of drug interactions is a permanent risk in hospitals. This way, the utilization of computer programs, pharmacotherapy monitoring of patients and the pharmacist presence in the multidisciplinary team are some manners of contributing to hospitalized patients’ treatment. PMID:25170352

  16. Interactions between magnesium and psychotropic drugs.

    PubMed

    Nechifor, Mihai

    2008-06-01

    Psychotropic drugs (antidepressants, antimanic drugs, antipsychotics, analgesic opioids, and others) are among the most frequently used medicines. Between these drugs and magnesium there are pharmacokinetic and pharmacodynamic interactions. Erythrocyte magnesium is decreased in patients with severe major depression (MD) vs normal subjects (44 +/- 2.7 mg/L in MD group vs 59.1 +/- 3.2 mg/L in control group, p < 0.01). Therapy with sertraline, 150 mg/day p.o. -21 days or with amitryptiline 3 x 25 mg/day p.o. 28 days increases significantly erythrocyte concentration of magnesium (56.9 +/- 5.22 mg/L after sertraline vs 44 +/- 2.7 mg/L before sertraline, p < 0.01). In patients with acute paranoid schizophrenia, erythrocyte magnesium concentration is decreased vs healthy subjects. Haloperidol, 8 mg/day, p.o. for 21 days or risperidone, 6 mg/day p.o. for 21 days have increased significantly erythrocyte magnesium concentration (46.21 +/- 3.1 mg/L before haloperidol and 54.6 +/- 2.7 mg/L after haloperidol, p < 0.05). Antimanic drugs (mood stabilizers) as carbamazepine, 600 mg/day, p.o., 4 weeks and sodium valproate, 900 mg/day p.o., 4 weeks, increased significantly magnesium in patients with bipolar disorder type I. Increased magnesium status positively correlated with enhancement of the clinical state. The existent data sustain the idea that an increase of erythrocyte magnesium is involved in the mechanism of action of some psychotropic drugs. Magnesium supply decreased the intensity of morphine-induced physical drug dependence. In heroin addicts, the plasma magnesium concentration is decreased.

  17. Valerian: No Evidence for Clinically Relevant Interactions

    PubMed Central

    Nieber, Karen; Kraft, Karin

    2014-01-01

    In recent popular publications as well as in widely used information websites directed to cancer patients, valerian is claimed to have a potential of adverse interactions with anticancer drugs. This questions its use as a safe replacement for, for example, benzodiazepines. A review on the interaction potential of preparations from valerian root (Valeriana officinalis L. root) was therefore conducted. A data base search and search in a clinical drug interaction data base were conducted. Thereafter, a systematic assessment of publications was performed. Seven in vitro studies on six CYP 450 isoenzymes, on p-glycoprotein, and on two UGT isoenzymes were identified. However, the methodological assessment of these studies did not support their suitability for the prediction of clinically relevant interactions. In addition, clinical studies on various valerian preparations did not reveal any relevant interaction potential concerning CYP 1A2, 2D6, 2E1, and 3A4. Available animal and human pharmacodynamic studies did not verify any interaction potential. The interaction potential of valerian preparations therefore seems to be low and thereby without clinical relevance. We conclude that there is no specific evidence questioning their safety, also in cancer patients. PMID:25093031

  18. Herb–drug interactions: Review and assessment of report reliability

    PubMed Central

    Fugh-Berman, Adriane; Ernst, E

    2001-01-01

    Aims The aim of this systematic review was to assess the published clinical evidence on interactions between herbal and conventional drugs. Methods Four electronic databases were searched for case reports, case series or clinical trials of such interactions. The data were extracted and validated using a scoring system for interaction probability. Results One hundred and eight cases of suspected interactions were found. 68.5% were classified as ‘unable to be evaluated’, 13% as ‘well-documented’ and 18.5% as ‘possible’ interactions. Warfarin was the most common drug (18 cases) and St John's wort the most common herb (54 cases) involved. Conclusion Herb–drug interactions undoubtedly do occur and may put individuals at risk. However our present knowledge is incomplete and more research is urgently needed. PMID:11736868

  19. Systematic Prediction of Pharmacodynamic Drug-Drug Interactions through Protein-Protein-Interaction Network

    PubMed Central

    Huang, Jialiang; Niu, Chaoqun; Green, Christopher D.; Yang, Lun; Mei, Hongkang; Han, Jing-Dong J.

    2013-01-01

    Identifying drug-drug interactions (DDIs) is a major challenge in drug development. Previous attempts have established formal approaches for pharmacokinetic (PK) DDIs, but there is not a feasible solution for pharmacodynamic (PD) DDIs because the endpoint is often a serious adverse event rather than a measurable change in drug concentration. Here, we developed a metric “S-score” that measures the strength of network connection between drug targets to predict PD DDIs. Utilizing known PD DDIs as golden standard positives (GSPs), we observed a significant correlation between S-score and the likelihood a PD DDI occurs. Our prediction was robust and surpassed existing methods as validated by two independent GSPs. Analysis of clinical side effect data suggested that the drugs having predicted DDIs have similar side effects. We further incorporated this clinical side effects evidence with S-score to increase the prediction specificity and sensitivity through a Bayesian probabilistic model. We have predicted 9,626 potential PD DDIs at the accuracy of 82% and the recall of 62%. Importantly, our algorithm provided opportunities for better understanding the potential molecular mechanisms or physiological effects underlying DDIs, as illustrated by the case studies. PMID:23555229

  20. Cytochrome P450 enzyme mediated herbal drug interactions (Part 2)

    PubMed Central

    Wanwimolruk, Sompon; Phopin, Kamonrat; Prachayasittikul, Virapong

    2014-01-01

    To date, a number of significant herbal drug interactions have their origins in the alteration of cytochrome P450 (CYP) activity by various phytochemicals. Among the most noteworthy are those involving St. John's wort and drugs metabolized by human CYP3A4 enzyme. This review article is the continued work from our previous article (Part 1) published in this journal (Wanwimolruk and Prachayasittikul, 2014[ref:133]). This article extends the scope of the review to six more herbs and updates information on herbal drug interactions. These include black cohosh, ginseng, grape seed extract, green tea, kava, saw palmetto and some important Chinese medicines are also presented. Even though there have been many studies to determine the effects of herbs and herbal medicines on the activity of CYP, most of them were in vitro and in animal studies. Therefore, the studies are limited in predicting the clinical relevance of herbal drug interactions. It appeared that the majority of the herbal medicines have no clear effects on most of the CYPs examined. For example, the existing clinical trial data imply that black cohosh, ginseng and saw palmetto are unlikely to affect the pharmacokinetics of conventional drugs metabolized by human CYPs. For grape seed extract and green tea, adverse herbal drug interactions are unlikely when they are concomitantly taken with prescription drugs that are CYP substrates. Although there were few clinical studies on potential CYP-mediated interactions produced by kava, present data suggest that kava supplements have the ability to inhibit CYP1A2 and CYP2E1 significantly. Therefore, caution should be taken when patients take kava with CYP1A2 or CYP2E1 substrate drugs as it may enhance their therapeutic and adverse effects. Despite the long use of traditional Chinese herbal medicines, little is known about the potential drug interactions with these herbs. Many popularly used Chinese medicines have been shown in vitro to significantly change the

  1. Drug disposition and drug-drug interaction data in 2013 FDA new drug applications: a systematic review.

    PubMed

    Yu, Jingjing; Ritchie, Tasha K; Mulgaonkar, Aditi; Ragueneau-Majlessi, Isabelle

    2014-12-01

    The aim of the present work was to perform a systematic review of drug metabolism, transport, pharmacokinetics, and DDI data available in the NDAs approved by the FDA in 2013, using the University of Washington Drug Interaction Database, and to highlight significant findings. Among 27 NMEs approved, 22 (81%) were well characterized with regard to drug metabolism, transport, or organ impairment, in accordance with the FDA drug interaction guidance (2012) and were fully analyzed in this review. In vitro, a majority of the NMEs were found to be substrates or inhibitors/inducers of at least one drug metabolizing enzyme or transporter. However, in vivo, only half (n = 11) showed clinically relevant drug interactions, with most related to the NMEs as victim drugs and CYP3A being the most affected enzyme. As perpetrators, the overall effects for NMEs were much less pronounced, compared with when they served as victims. In addition, the pharmacokinetic evaluation in patients with hepatic or renal impairment provided useful information for further understanding of the drugs' disposition.

  2. Cytochrome P450 enzyme mediated herbal drug interactions (Part 1)

    PubMed Central

    Wanwimolruk, Sompon; Prachayasittikul, Virapong

    2014-01-01

    It is well recognized that herbal supplements or herbal medicines are now commonly used. As many patients taking prescription medications are concomitantly using herbal supplements, there is considerable risk for adverse herbal drug interactions. Such interactions can enhance the risk for an individual patient, especially with regard to drugs with a narrow therapeutic index such as warfarin, cyclosporine A and digoxin. Herbal drug interactions can alter pharmacokinetic or/and pharmacodynamic properties of administered drugs. The most common pharmacokinetic interactions usually involve either the inhibition or induction of the metabolism of drugs catalyzed by the important enzymes, cytochrome P450 (CYP). The aim of the present article is to provide an updated review of clinically relevant metabolic CYP-mediated drug interactions between selected herbal supplements and prescription drugs. The commonly used herbal supplements selected include Echinacea, Ginkgo biloba, garlic, St. John's wort, goldenseal, and milk thistle. To date, several significant herbal drug interactions have their origins in the alteration of CYP enzyme activity by various phytochemicals. Numerous herbal drug interactions have been reported. Although the significance of many interactions is uncertain but several interactions, especially those with St. John’s wort, may have critical clinical consequences. St. John’s wort is a source of hyperforin, an active ingredient that has a strong affinity for the pregnane xenobiotic receptor (PXR). As a PXR ligand, hyperforin promotes expression of CYP3A4 enzymes in the small intestine and liver. This in turn causes induction of CYP3A4 and can reduce the oral bioavailability of many drugs making them less effective. The available evidence indicates that, at commonly recommended doses, other selected herbs including Echinacea, Ginkgo biloba, garlic, goldenseal and milk thistle do not act as potent or moderate inhibitors or inducers of CYP enzymes. A good

  3. In vitro antibacterial activity of medicinal plant extracts against Escherichia coli strains from human clinical specimens and interactions with antimicrobial drugs.

    PubMed

    Ushimaru, P I; Barbosa, L N; Fernandes, A A H; Di Stasi, L C; Fernandes, A

    2012-01-01

    The biological properties of medicinal plants have been documented worldwide for many centuries. We aimed to evaluate interactions between crude extracts from Psidium guajava, Zingiber officinale, Cymbopogon citratus, Caryophyllus aromaticus, Mikania glomerata and Allium sativum samples and antimicrobial drugs against Escherichia coli strains. The susceptibility test performed was disc diffusion, and crude extracts were diluted (%v/v) into Müller-Hinton agar (MHA) at one quarter of the minimal inhibitory concentration for 90% (MIC(90%)) of E. coli strains found previously. Synergistic interactions were observed between C. citratus and polymyxin, and A. sativum extracts and gentamicin. The crude A. sativum extract was the only one that did not show any antagonism with the antimicrobial drugs. The results thus showed the potential use of these medicinal plants against E. coli strains, although antagonism with antimicrobial drugs is a negative aspect in the combined therapy of infectious diseases caused by E. coli.

  4. Using Linked Data for Mining Drug-Drug Interactions in Electronic Health Records

    PubMed Central

    Pathak, Jyotishman; Kiefer, Richard C.; Chute, Christopher G.

    2014-01-01

    By nature, healthcare data is highly complex and voluminous. While on one hand, it provides unprecedented opportunities to identify hidden and unknown relationships between patients and treatment outcomes, or drugs and allergic reactions for given individuals, representing and querying large network datasets poses significant technical challenges. In this research, we study the use of Semantic Web and Linked Data technologies for identifying drug-drug interaction (DDI) information from publicly available resources, and determining if such interactions were observed using real patient data. Specifically, we apply Linked Data principles and technologies for representing patient data from electronic health records (EHRs) at Mayo Clinic as Resource Description Framework (RDF), and identify potential drug-drug interactions (PDDIs) for widely prescribed cardiovascular and gastroenterology drugs. Our results from the proof-of-concept study demonstrate the potential of applying such a methodology to study patient health outcomes as well as enabling genome-guided drug therapies and treatment interventions. PMID:23920643

  5. Using linked data for mining drug-drug interactions in electronic health records.

    PubMed

    Pathak, Jyotishman; Kiefer, Richard C; Chute, Christopher G

    2013-01-01

    By nature, healthcare data is highly complex and voluminous. While on one hand, it provides unprecedented opportunities to identify hidden and unknown relationships between patients and treatment outcomes, or drugs and allergic reactions for given individuals, representing and querying large network datasets poses significant technical challenges. In this research, we study the use of Semantic Web and Linked Data technologies for identifying drug-drug interaction (DDI) information from publicly available resources, and determining if such interactions were observed using real patient data. Specifically, we apply Linked Data principles and technologies for representing patient data from electronic health records (EHRs) at Mayo Clinic as Resource Description Framework (RDF), and identify potential drug-drug interactions (PDDIs) for widely prescribed cardiovascular and gastroenterology drugs. Our results from the proof-of-concept study demonstrate the potential of applying such a methodology to study patient health outcomes as well as enabling genome-guided drug therapies and treatment interventions.

  6. Vaccine-Drug Interactions: Cytokines, Cytochromes, and Molecular Mechanisms.

    PubMed

    Pellegrino, Paolo; Perrotta, Cristiana; Clementi, Emilio; Radice, Sonia

    2015-09-01

    Vaccinations are recommended throughout life to reduce the risk of vaccine-preventable diseases and their sequelae. Vaccines are often administered in patients with chronic diseases who are likely to be treated with several drugs. A growing number of clinical observations have indicated the possibility of interactions between vaccines and drugs, leading to changes in drug metabolism after vaccination. These interactions represent a significant concern because of the increasing use of vaccines in older patients who are likely to be treated with several drugs. Because of the possible implications of adverse reactions in terms of public health, several studies were performed to verify the risk posed by these interactions and to clarify the biologic mechanisms that drive these events. Of the several mechanisms proposed to be at the basis of vaccine-drug interactions, the most convincing evidence suggests a role of inflammatory cytokines on the regulation of specific cytochrome P450 enzymes in the liver. Differences in the cytochrome P450 enzymes involved in the metabolism of these drugs could explain these contrasting results and provide important insights to fully understand the clinical importance of these events. Further studies are required to verify whether vaccine-drug interactions may occur in other clinical settings, especially the ones for which patients are required to be vaccinated against specific diseases.

  7. Data-driven prediction of drug effects and interactions.

    PubMed

    Tatonetti, Nicholas P; Ye, Patrick P; Daneshjou, Roxana; Altman, Russ B

    2012-03-14

    Adverse drug events remain a leading cause of morbidity and mortality around the world. Many adverse events are not detected during clinical trials before a drug receives approval for use in the clinic. Fortunately, as part of postmarketing surveillance, regulatory agencies and other institutions maintain large collections of adverse event reports, and these databases present an opportunity to study drug effects from patient population data. However, confounding factors such as concomitant medications, patient demographics, patient medical histories, and reasons for prescribing a drug often are uncharacterized in spontaneous reporting systems, and these omissions can limit the use of quantitative signal detection methods used in the analysis of such data. Here, we present an adaptive data-driven approach for correcting these factors in cases for which the covariates are unknown or unmeasured and combine this approach with existing methods to improve analyses of drug effects using three test data sets. We also present a comprehensive database of drug effects (Offsides) and a database of drug-drug interaction side effects (Twosides). To demonstrate the biological use of these new resources, we used them to identify drug targets, predict drug indications, and discover drug class interactions. We then corroborated 47 (P < 0.0001) of the drug class interactions using an independent analysis of electronic medical records. Our analysis suggests that combined treatment with selective serotonin reuptake inhibitors and thiazides is associated with significantly increased incidence of prolonged QT intervals. We conclude that confounding effects from covariates in observational clinical data can be controlled in data analyses and thus improve the detection and prediction of adverse drug effects and interactions.

  8. Pharmacokinetic Interactions between Drugs and Botanical Dietary Supplements.

    PubMed

    Sprouse, Alyssa A; van Breemen, Richard B

    2016-02-01

    The use of botanical dietary supplements has grown steadily over the last 20 years despite incomplete information regarding active constituents, mechanisms of action, efficacy, and safety. An important but underinvestigated safety concern is the potential for popular botanical dietary supplements to interfere with the absorption, transport, and/or metabolism of pharmaceutical agents. Clinical trials of drug-botanical interactions are the gold standard and are usually carried out only when indicated by unexpected consumer side effects or, preferably, by predictive preclinical studies. For example, phase 1 clinical trials have confirmed preclinical studies and clinical case reports that St. John's wort (Hypericum perforatum) induces CYP3A4/CYP3A5. However, clinical studies of most botanicals that were predicted to interact with drugs have shown no clinically significant effects. For example, clinical trials did not substantiate preclinical predictions that milk thistle (Silybum marianum) would inhibit CYP1A2, CYP2C9, CYP2D6, CYP2E1, and/or CYP3A4. Here, we highlight discrepancies between preclinical and clinical data concerning drug-botanical interactions and critically evaluate why some preclinical models perform better than others in predicting the potential for drug-botanical interactions. Gaps in knowledge are also highlighted for the potential of some popular botanical dietary supplements to interact with therapeutic agents with respect to absorption, transport, and metabolism.

  9. Gaussian interaction profile kernels for predicting drug-target interaction.

    PubMed

    van Laarhoven, Twan; Nabuurs, Sander B; Marchiori, Elena

    2011-11-01

    The in silico prediction of potential interactions between drugs and target proteins is of core importance for the identification of new drugs or novel targets for existing drugs. However, only a tiny portion of all drug-target pairs in current datasets are experimentally validated interactions. This motivates the need for developing computational methods that predict true interaction pairs with high accuracy. We show that a simple machine learning method that uses the drug-target network as the only source of information is capable of predicting true interaction pairs with high accuracy. Specifically, we introduce interaction profiles of drugs (and of targets) in a network, which are binary vectors specifying the presence or absence of interaction with every target (drug) in that network. We define a kernel on these profiles, called the Gaussian Interaction Profile (GIP) kernel, and use a simple classifier, (kernel) Regularized Least Squares (RLS), for prediction drug-target interactions. We test comparatively the effectiveness of RLS with the GIP kernel on four drug-target interaction networks used in previous studies. The proposed algorithm achieves area under the precision-recall curve (AUPR) up to 92.7, significantly improving over results of state-of-the-art methods. Moreover, we show that using also kernels based on chemical and genomic information further increases accuracy, with a neat improvement on small datasets. These results substantiate the relevance of the network topology (in the form of interaction profiles) as source of information for predicting drug-target interactions. Software and Supplementary Material are available at http://cs.ru.nl/~tvanlaarhoven/drugtarget2011/. tvanlaarhoven@cs.ru.nl; elenam@cs.ru.nl. Supplementary data are available at Bioinformatics online.

  10. [Interactions of food and drug metabolism].

    PubMed

    Delzenne, N M; Verbeeck, R K

    2001-01-01

    The nutritional state, and/or the ingestion of specific nutrients, is/are able to modify drug disposition, by interfering with drug absorption, distribution, storage, and metabolism. Recent data report that nutrients interfere with drug metabolism either by modifying key enzymes of phase I (cytochromeP450 dependent mixed function oxidase) and II (glucuronosyl, sulfonyl- ... transferases), or by modulating coenzymes availability (NADPH, UDPglucuronic acid...). Food components involved in drug metabolism modifications are either macro-nutrients (carbohydrates, lipids, proteins, ethanol), micronutriments (vitamins, minerals), or phytochemicals. Drug-nutrients interactions may be beneficials, and thus could constitute, i.e. a way to improve drug therapeutic index, or generate adverse effects.

  11. Interactive association of drugs binding to human serum albumin.

    PubMed

    Yang, Feng; Zhang, Yao; Liang, Hong

    2014-02-27

    Human serum albumin (HSA) is an abundant plasma protein, which attracts great interest in the pharmaceutical industry since it can bind a remarkable variety of drugs impacting their delivery and efficacy and ultimately altering the drug's pharmacokinetic and pharmacodynamic properties. Additionally, HSA is widely used in clinical settings as a drug delivery system due to its potential for improving targeting while decreasing the side effects of drugs. It is thus of great importance from the viewpoint of pharmaceutical sciences to clarify the structure, function, and properties of HSA-drug complexes. This review will succinctly outline the properties of binding site of drugs in IIA subdomain within the structure of HSA. We will also give an overview on the binding characterization of interactive association of drugs to human serum albumin that may potentially lead to significant clinical applications.

  12. Drug Interaction Alert Override Rates in the Meaningful Use Era

    PubMed Central

    Bryant, A.D.; Fletcher, G.S.

    2014-01-01

    Summary Background Interruptive drug interaction alerts may reduce adverse drug events and are required for Stage I Meaningful Use attestation. For the last decade override rates have been very high. Despite their widespread use in commercial EHR systems, previously described interventions to improve alert frequency and acceptance have not been well studied. Objectives (1) To measure override rates of inpatient medication alerts within a commercial clinical decision support system, and assess the impact of local customization efforts. (2) To compare override rates between drug-drug interaction and drug-allergy interaction alerts, between attending and resident physicians, and between public and academic hospitals. (3) To measure the correlation between physicians’ individual alert quantities and override rates as an indicator of potential alert fatigue. Methods We retrospectively analyzed physician responses to drug-drug and drug-allergy interaction alerts, as generated by a common decision support product in a large teaching hospital system. Results (1) Over four days, 461 different physicians entered 18,354 medication orders, resulting in 2,455 visible alerts; 2,280 alerts (93%) were overridden. (2) The drug-drug alert override rate was 95.1%, statistically higher than the rate for drug-allergy alerts (90.9%) (p < 0.001). There was no significant difference in override rates between attendings and residents, or between hospitals. (3) Physicians saw a mean of 1.3 alerts per day, and the number of alerts per physician was not significantly correlated with override rate (R2 = 0.03, p = 0.41). Conclusions Despite intensive efforts to improve a commercial drug interaction alert system and to reduce alerting, override rates remain as high as reported over a decade ago. Alert fatigue does not seem to contribute. The results suggest the need to fundamentally question the premises of drug interaction alert systems. PMID:25298818

  13. Clinical importance of the drug interaction between statins and CYP3A4 inhibitors: a retrospective cohort study in The Health Improvement Network

    PubMed Central

    Rowan, Christopher G.; Brunelli, Steven M.; Munson, Jeffrey; Flory, James; Reese, Peter P.; Hennessy, Sean; Lewis, James; Mines, Daniel; Barrett, Jeffrey S.; Bilker, Warren; Strom, Brian L.

    2014-01-01

    Objective To compare the relative hazard of muscle toxicity, renal dysfunction, and hepatic dysfunction associated with the drug interaction between statins and concomitant medications that inhibit the CYP3A4 isoenzyme. Background Although statins provide important clinical benefits related to mitigating the risk of cardiovascular events, this class of medications also has the potential for severe adverse reactions. The risk for adverse events may be potentiated by concomitant use of medications that interfere with statin metabolism. Methods Data from The Health Improvement Network (THIN) from 1990 to 2008 were used to conduct a retrospective cohort study. Cohorts were created to evaluate each outcome (muscle toxicity, renal dysfunction, and hepatic dysfunction) independently. Each cohort included new statin initiators and compared the relative hazard of the outcome. The interaction ratio (I*R) was the primary contrast of interest. The I*R represents the relative effect of each statin type (statin 3A4 substrate vs. statin non-3A4 substrate) with a CYP3A4 inhibitor, independent of the effect of the statin type without a CYP3A4 inhibitor. We adjusted for confounding variables using the multinomial propensity score. Results The median follow-up time per cohort was 1.5 years. There were 7889 muscle toxicity events among 362 809 patients and 792 665 person-years. The adjusted muscle toxicity I*R was 1.22 (95% confidence interval [CI] = 0.90–1.66). There were 1449 renal dysfunction events among 272,099 patients and 574 584 person-years. The adjusted renal dysfunction I*R was 0.91 (95%CI = 0.58–1.44). There were 1434 hepatic dysfunction events among 367 612 patients and 815 945 person-years. The adjusted hepatic dysfunction I*R was 0.78 (95%CI = 0.45–1.31). Conclusions Overall, this study found no difference in the relative hazard of muscle toxicity, renal dysfunction, or hepatic dysfunction for patients prescribed a statin 3A4 substrate versus a statin non-3A4

  14. Rapid and simultaneous determination of nifedipine and dehydronifedipine in human plasma by liquid chromatography-tandem mass spectrometry: Application to a clinical herb-drug interaction study.

    PubMed

    Wang, Xue-Ding; Li, Jia-Li; Lu, Yan; Chen, Xiao; Huang, Min; Chowbay, Balram; Zhou, Shu-Feng

    2007-06-01

    Nifedipine (NIF), a calcium channel antagonist, is metabolized primarily by cytochrome P450 (CYP3A4) to dehydronifedipine (DNIF). As such, NIF is often used as a probe drug for determining CYP3A4 activity in human studies. A rapid and sensitive liquid chromatography/tandem mass spectrometry (LC/MS/MS) method was developed and validated to simultaneously determine NIF and DNIF in human plasma using nitrendipine as the internal standard (IS). After extraction of the plasma samples by ether-n-hexane (3:1, v/v), NIF, DNIF and the IS were subjected to LC/MS/MS analysis using electro-spray ionization (ESI). Chromatographic separation was performed on a Hypersil BDS C(18) column (50 mm x 2.1 mm, i.d., 3 microm). The method had a chromatographic running time of approximately 2.5 min and linear calibration curves over the concentrations of 0.5-100 ng/mL for NIF and DNIF. The recoveries of the one-step liquid extraction method were 81.3-89.1% for NIF and 71.6-80.4% for DNIF. The lower limit of quantification (LLOQ) of the analytical method was 0.5 ng/mL for both analytes. The intra- and inter-day precision was less than 15% for all quality control samples at concentrations of 2, 10, and 50 ng/mL. The validated LC/MS/MS method has been successfully used to study pharmacokinetic interactions of NIF with the herbal antidepressant St. John's wort in healthy volunteers. These results indicated that the developed LC/MS/MS method was efficient with a significantly shorter running time (2.5 min) for NIF and DNIF compared to those methods previously reported in the literature. The presented LC/MS/MS method had acceptable accuracy, precision and sensitivity and was used in a clinical pharmacokinetic interaction study of NIF with St. John's wort, a known herbal inducer of CYP3A4. St. John's wort was shown to induce NIF metabolism with increased plasma concentrations of DNIF.

  15. Herb-drug interaction of Fucus vesiculosus extract and amiodarone in rats: a potential risk for reduced bioavailability of amiodarone in clinical practice.

    PubMed

    Rodrigues, Márcio; Alves, Gilberto; Abrantes, João; Falcão, Amílcar

    2013-02-01

    Fucus vesiculosus is a seaweed claimed to be useful for obesity management. Therefore, considering the relationship between obesity and cardiovascular diseases, this work aimed to assess the potential for an herb-drug interaction among a standardized F. vesiculosus extract (GMP certificate) and amiodarone (a narrow therapeutic index drug) in rats. In a first pharmacokinetic study, rats were simultaneously co-administered with a single-dose of F. vesiculosus (575 mg/kg, p.o.) and amiodarone (50 mg/kg, p.o.); in a second study, rats were pre-treated during 14 days with F. vesiculosus (575 mg/kg/day, p.o.) and received amiodarone (50 mg/kg, p.o.) on the 15th day. Rats of the control groups received the corresponding volume of vehicle. After analysis of the pharmacokinetic data it deserves to be highlighted the significant decrease in the peak plasma concentration of amiodarone (55.4%) as well as the reduction of systemic exposure to the parent drug (~30%) following the simultaneous co-administration of F. vesiculosus extract and amiodarone. This paper reports, for the first time, the herb-drug interaction between F. vesiculosus and amiodarone, which determined a considerable decrease on amiodarone bioavailability in rats. Therefore, the therapeutic efficacy of amiodarone may be compromised by the concurrent administration of herbal slimming medicines/dietary supplements containing F. vesiculosus.

  16. Clinical assessment of CYP2D6-mediated herb-drug interactions in humans: Effects of milk thistle, black cohosh, goldenseal, kava kava, St. John's wort, and Echinacea

    PubMed Central

    Gurley, Bill J.; Swain, Ashley; Hubbard, Martha A.; Williams, D. Keith; Barone, Gary; Hartsfield, Faith; Tong, Yudong; Carrier, Danielle J.; Cheboyina, Shreekar; Battu, Sunil K.

    2007-01-01

    Cytochrome P450 2D6 (CYP2D6), an important CYP isoform with regard to drug-drug interactions, accounts for the metabolism of ∼30% of all medications. To date, few studies have assessed the effects of botanical supplementation on human CYP2D6 activity in vivo. Six botanical extracts were evaluated in three separate studies (2 extracts per study), each incorporating 18 healthy volunteers (9 females). Subjects were randomized to receive a standardized botanical extract for 14 days on separate occasions. A 30-day washout period was interposed between each supplementation phase. In study 1, subjects received milk thistle (Silybum marianum) and black cohosh (Cimicifuga racemosa). In study 2, kava kava (Piper methysticum), and goldenseal (Hydrastis canadensis) extracts were administered, and in study 3 subjects received St. John's wort (Hypericum perforatum) and Echinacea (Echinacea purpurea). The CYP2D6 substrate, debrisoquine (5 mg), was administered before and at the end of supplementation. Pre- and post-supplementation phenotypic trait measurements were determined for CYP2D6 using 8-hour debrisoquine urinary recovery ratios (DURR). Comparisons of pre- and post-supplementation DURR revealed significant inhibition (∼50%) of CYP2D6 activity for goldenseal, but not for the other extracts. Accordingly, adverse herb-drug interactions may result with concomitant ingestion of goldenseal supplements and drugs that are CYP2D6 substrates. PMID:18214849

  17. Pharmacogenetics of drug-drug interaction and drug-drug-gene interaction: a systematic review on CYP2C9, CYP2C19 and CYP2D6.

    PubMed

    Bahar, Muh Akbar; Setiawan, Didik; Hak, Eelko; Wilffert, Bob

    2017-05-01

    Currently, most guidelines on drug-drug interaction (DDI) neither consider the potential effect of genetic polymorphism in the strength of the interaction nor do they account for the complex interaction caused by the combination of DDI and drug-gene interaction (DGI) where there are multiple biotransformation pathways, which is referred to as drug-drug-gene interaction (DDGI). In this systematic review, we report the impact of pharmacogenetics on DDI and DDGI in which three major drug-metabolizing enzymes - CYP2C9, CYP2C19 and CYP2D6 - are central. We observed that several DDI and DDGI are highly gene-dependent, leading to a different magnitude of interaction. Precision drug therapy should take pharmacogenetics into account when drug interactions in clinical practice are expected.

  18. [Situation analysis for drug clinical trial institutions].

    PubMed

    Chen, Yin-Ying; Wu, Ping; Wang, Jie

    2014-08-01

    Drug clinical trial is an important link in the chain of new drug research and development. The results of drug discovery and development directly depend on the extent of standardization of clinical trials. Therefore, improving the quality of drug clinical trials is of great importance, and drug clinical trial institutions play a crucial role in the quality management of drug clinical trials. After years of development, the overall level of drug clinical trials has advanced rapidly in China, and a large number of clinical trials of traditional Chinese medicine have also been carried out. However, there is still a big gap between our country and developed countries. Therefore, for the construction and management of Chinese drug clinical trial institutions, there is still a long way to go. This study aims to analyze the current development of drug clinical trial institutions in China and explore the existing problems from three aspects, including current situations of institutional organization and management, regional and professional distributions, and quality control. And some suggestions are put forward finally, including support of traditional Chinese medicine, introduction of drug-risk management system, and construction of information management.

  19. Roles of rifampicin in drug-drug interactions: underlying molecular mechanisms involving the nuclear pregnane X receptor.

    PubMed

    Chen, Jiezhong; Raymond, Kenneth

    2006-02-15

    Rifampicin, an important drug in the treatment of tuberculosis, is used extensively despite its broad effects on drug-drug interactions, creating serious problems. The clinical importance of such interactions includes autoinduction leading to suboptimal or failed treatment. The concomitantly administered effects of rifampicin on other drugs can result in their altered metabolism or transportation that are metabolised by cytochromes P450 or transported by p-glycoprotein in the gastrointestinal tract and liver. This review paper summarises recent findings with emphases on the molecular mechanisms used to explain these broad drug-drug interactions. In general, rifampicin can act on a pattern: rifampicin activates the nuclear pregnane X receptor that in turn affects cytochromes P450, glucuronosyltransferases and p-glycoprotein activities. This pattern of action may explain many of the rifampicin inducing drug-drug interactions. However, effects through other mechanisms have also been reported and these make any explanation of such drug-drug interactions more complex.

  20. The clinical pharmacology of appetite suppressant drugs.

    PubMed

    Silverstone, T; Goodall, E

    1984-01-01

    One way of gaining a greater understanding of the central mechanisms underlying hunger and the regulation of feeding behaviour in humans is to examine the actions and interactions on hunger and food intake of drugs with known or presumed pharmacological modes of action. To this end we have undertaken a number of studies which fall into three main categories: the mechanisms by which amphetamine anorexia is induced; the possible role of endogenous opioids in feeding; the action of amino acids thought to be involved in the regulation of feeding. In this field the potential for cross-fertilization between basic scientists working with laboratory animals and clinical scientists working with human subjects exists. For example, the clinical pharmacologist has been able to test out hypotheses on human subjects which could only have been developed using laboratory animals. Furthermore, using human subjects it is possible to extend the field of inquiry into an exploration of the subjective dimensions of appetite and hunger.

  1. Adverse drug interactions in dental practice: interactions associated with vasoconstrictors. Part V of a series.

    PubMed

    Yagiela, J A

    1999-05-01

    Adrenergic vasoconstrictors are commonly used by dentists to enhance the pain-relieving action of local anesthetics and to control local bleeding. Although normally considered safe for these applications, vasoconstrictors can participate in drug interactions that potentially are harmful to patients. The faculty of a March 1998 symposium entitled "Adverse Drug Interactions in Dentistry: Separating the Myths From the Facts" extensively reviewed the literature on drug interactions. They then established a significance rating of alleged adverse drug interactions pertaining to dentistry, based on the quality of documentation and severity of effect. The author of this article focused on the adrenergic vasoconstrictors epinephrine and levonordefrin. Vasoconstrictor drug interactions involving tricyclic antidepressants, nonselective beta-adrenergic blocking drugs, certain general anesthetics and cocaine are well-documented in both humans and animals as having the potential for causing serious morbidity or death. Evidence for adverse interactions involving adrenergic neuronal blocking drugs, drugs with alpha-adrenergic blocking activity, local anesthetics and thyroid hormones is much less compelling, suggesting for the most part that clinically significant reactions may occur only when both the vasoconstrictor and the interacting drug are used in excessive doses. In the case of monoamine oxidase inhibitors, there is no credible evidence of a significant interaction with epinephrine or levonordefrin. Potentially serious adverse drug interactions involving adrenergic vasoconstrictors can occur in dental practice. In most circumstances, careful administration of small doses of vasoconstrictors and avoidance of gingival retraction cord containing epinephrine, coupled with monitoring of vita signs, will permit these drugs to be used with no risk or only minimally increased risk. Only in the case of cocaine intoxication must adrenergic vasoconstrictors be avoided completely. For

  2. Assessment of Drug-Drug Interactions among Renal Failure Patients of Nephrology Ward in a South Indian Tertiary Care Hospital.

    PubMed

    Rama, Mylapuram; Viswanathan, Gayathri; Acharya, Leelavathi D; Attur, R P; Reddy, P N; Raghavan, S V

    2012-01-01

    Polypharmacy is common in drug prescriptions of chronic kidney disease patients. A study of the prescription patterns of drugs with potential interactions would be of interest to prevent drug related adverse events. A prospective observational study of six months (Dec 2009-May 2010) was carried out among the chronic kidney disease patients admitted to the nephrology ward of a South Indian tertiary care hospital. The pattern and rates of drug-drug interactions seen in the prescriptions of these patients was studied. Among the 205 prescriptions included, a total of 474 interactions were reported, making 2.7 interactions per prescription with incidence rates of 76.09%. Around 19.62% of interactions were of major severity. Most common interactions were found between ascorbic acid and cyanocobalamine (12.45%), clonidine and metoprolol (3.80%) respectively. Hypo or hypertension (31.65%), decreased drug efficacy (29.11%) and hypo or hyperglycemia (14.14%), were the most commonly reported clinical outcomes of the drug interactions. Cardiovascular drugs (calcium channel blockers and beta blockers; 52%) constitute the major class of drugs involved in interactions. As most of the interactions had a delayed onset, long term follow-up is essential to predict the clinically significant outcomes of these interactions. Hence, drug interactions are commonly seen in the prescriptions of chronic kidney disease patients which can lead to serious adverse events if not detected early. Need for collaboration with a clinical pharmacist and electronic surveillance, which are absent in developing countries like India, is emphatic.

  3. Quality of drug interaction alerts in prescribing and dispensing software.

    PubMed

    Sweidan, Michelle; Reeve, James F; Brien, Jo-anne E; Jayasuriya, Pradeep; Martin, Jennifer H; Vernon, Graeme M

    2009-03-02

    To investigate the quality of drug interaction decision support in selected prescribing and dispensing software systems, and to compare this information with that found in a range of reference sources. A comparative study, conducted between June 2006 and February 2007, of the support provided for making decisions about 20 major and 20 minor drug interactions in six prescribing and three dispensing software systems used in primary care in Australia. Five electronic reference sources were evaluated for comparison. Sensitivity, specificity and quality of information; for major interactions: whether information on clinical effects, timeframe and pharmacological mechanism was included, whether management advice was helpful, and succinctness. Six of the nine software systems had a sensitivity rate > or = 90%, detecting most of the major interactions. Only 3/9 systems had a specificity rate of > or = 80%, with other systems providing inappropriate or unhelpful alerts for many minor interactions. Only 2/9 systems provided adequate information about clinical effects for more than half the major drug interactions, and 1/9 provided useful management advice for more than half of these. The reference sources had high sensitivity and in general provided more comprehensive clinical information than the software systems. Drug interaction decision support in commonly used prescribing and dispensing software has significant shortcomings.

  4. Prediction of transporter-mediated drug-drug interactions using endogenous compounds.

    PubMed

    Fromm, M F

    2012-11-01

    Therapy with two or more drugs is more the rule than the exception, particularly in aging societies. Drug-drug interactions are frequently undesirable and may lead to increased toxicity and mortality. Inhibition of transporters is one major mechanism underlying drug-drug interactions. The myriad of potential drug combinations makes it very challenging to predict drug-drug interactions. This Commentary discusses potential advantages and limitations of endogenous compounds for predicting transporter-mediated drug-drug interactions.

  5. Prediction of Drug Clearance and Drug-Drug Interactions in Microscale Cultures of Human Hepatocytes.

    PubMed

    Lin, Christine; Shi, Julianne; Moore, Amanda; Khetani, Salman R

    2016-01-01

    Accurate prediction of in vivo hepatic drug clearance using in vitro assays is important to properly estimate clinical dosing regimens. Clearance of low-turnover compounds is especially difficult to predict using short-lived suspensions of unpooled primary human hepatocytes (PHHs) and functionally declining PHH monolayers. Micropatterned cocultures (MPCCs) of PHHs and 3T3-J2 fibroblasts have been shown previously to display major liver functions for several weeks in vitro. In this study, we first characterized long-term activities of major cytochrome P450 enzymes in MPCCs created from unpooled cryopreserved PHH donors. MPCCs were then used to predict the clearance of 26 drugs that exhibit a wide range of turnover rates in vivo (0.05-19.5 ml/min per kilogram). MPCCs predicted 73, 92, and 96% of drug clearance values for all tested drugs within 2-fold, 3-fold, and 4-fold of in vivo values, respectively. There was good correlation (R(2) = 0.94, slope = 1.05) of predictions between the two PHH donors. On the other hand, suspension hepatocytes and conventional monolayers created from the same donor had significantly reduced predictive capacity (i.e., 30-50% clearance values within 4-fold of in vivo), and were not able to metabolize several drugs. Finally, we modulated drug clearance in MPCCs by inducing or inhibiting P450s. Rifampin-mediated CYP3A4 induction increased midazolam clearance by 73%, while CYP3A4 inhibition with ritonavir decreased midazolam clearance by 79%. Similarly, quinidine-mediated CYP2D6 inhibition reduced clearance of dextromethorphan and desipramine by 71 and 22%, respectively. In conclusion, MPCCs created using cryopreserved unpooled PHHs can be used for drug clearance predictions and to model drug-drug interactions.

  6. An Oral Contraceptive Drug Interaction Study

    ERIC Educational Resources Information Center

    Bradstreet, Thomas E.; Panebianco, Deborah L.

    2004-01-01

    This article focuses on a two treatment, two period, two treatment sequence crossover drug interaction study of a new drug and a standard oral contraceptive therapy. Both normal theory and distribution-free statistical analyses are provided along with a notable amount of graphical insight into the dataset. For one of the variables, the decision on…

  7. An Oral Contraceptive Drug Interaction Study

    ERIC Educational Resources Information Center

    Bradstreet, Thomas E.; Panebianco, Deborah L.

    2004-01-01

    This article focuses on a two treatment, two period, two treatment sequence crossover drug interaction study of a new drug and a standard oral contraceptive therapy. Both normal theory and distribution-free statistical analyses are provided along with a notable amount of graphical insight into the dataset. For one of the variables, the decision on…

  8. [Prevalence of potential drug-drug interactions involving antiretroviral drugs in Buenos Aires, Argentina].

    PubMed

    Córdova, Ezequiel; Porteiro, Norma; Loiza, Eliana; Mingrone, Horacio

    2016-10-01

    Antiretroviral agents (ARVs) have a high potential for drug interactions. However, the prevalence and risk factors for clinically significant drug-drug interactions (CSDDIs) with ARVs from Latin American countries is unknown. To evaluate the prevalence and risk factors for CSDDIs in HIV outpatients attending at two centers in Buenos Aires, Argentina. Descriptive cross-sectional study (september to november 2012). HIV-1 infected patients under ARV treatment at the time of the study were randomly assessed for concomitant medication. CSDDIs were screened using the University of Liverpool Drug Interactions Program (www.hiv-druginteractions.org). A total of 217 patients were included. Male sex: 64% (CI 95: 57-70). Median age (IQR): 41 (36-48). Presence of comorbidities: 19%. ARV regimen: NNRTI-based: 48%, PI-based: 50% and NNRTI plus PI: 2%. Median of CD4 T-cell count (IQR): 402 cells/mL (235-588). Viral load < 50 copies/mL: 78%. Overall, 64% (CI 95: 57-70) of patients had > 1 co-medication of whom a 49% had at least one CSDDI. Two patients had a CSDDI between ARVs. The most frequent co-medications observed were antimicrobial (40%), cardiovascular (25%) and gastrointestinal agents (22%). In the multivariate analysis the number of co-medications and use of CNS agents were associated with the presence of CSDDIs. Co-medications and CSDDIs were common in our setting. In this context, training of HIV physicians in drug interactions is of major importance for adequate management of these patients.

  9. Pharmacokinetic and pharmacodynamic drug interactions with ethanol (alcohol).

    PubMed

    Chan, Lingtak-Neander; Anderson, Gail D

    2014-12-01

    Ethanol (alcohol) is one of the most widely used legal drugs in the world. Ethanol is metabolized by alcohol dehydrogenase (ADH) and the cytochrome P450 (CYP) 2E1 drug-metabolizing enzyme that is also responsible for the biotransformation of xenobiotics and fatty acids. Drugs that inhibit ADH or CYP2E1 are the most likely theoretical compounds that would lead to a clinically significant pharmacokinetic interaction with ethanol, which include only a limited number of drugs. Acute ethanol primarily alters the pharmacokinetics of other drugs by changing the rate and extent of absorption, with more limited effects on clearance. Both acute and chronic ethanol use can cause transient changes to many physiologic responses in different organ systems such as hypotension and impairment of motor and cognitive functions, resulting in both pharmacokinetic and pharmacodynamic interactions. Evaluating drug interactions with long-term use of ethanol is uniquely challenging. Specifically, it is difficult to distinguish between the effects of long-term ethanol use on liver pathology and chronic malnutrition. Ethanol-induced liver disease results in decreased activity of hepatic metabolic enzymes and changes in protein binding. Clinical studies that include patients with chronic alcohol use may be evaluating the effects of mild cirrhosis on liver metabolism, and not just ethanol itself. The definition of chronic alcohol use is very inconsistent, which greatly affects the quality of the data and clinical application of the results. Our study of the literature has shown that a significantly higher volume of clinical studies have focused on the pharmacokinetic interactions of ethanol and other drugs. The data on pharmacodynamic interactions are more limited and future research addressing pharmacodynamic interactions with ethanol, especially regarding the non-central nervous system effects, is much needed.

  10. Pharmacokinetic drug interaction profiles of proton pump inhibitors: an update.

    PubMed

    Wedemeyer, Ralph-Steven; Blume, Henning

    2014-04-01

    Proton pump inhibitors (PPIs) are used extensively for the treatment of gastric acid-related disorders, often over the long term, which raises the potential for clinically significant drug interactions in patients receiving concomitant medications. These drug-drug interactions have been previously reviewed. However, the current knowledge is likely to have advanced, so a thorough review of the literature published since 2006 was conducted. This identified new studies of drug interactions that are modulated by gastric pH. These studies showed the effect of a PPI-induced increase in intragastric pH on mycophenolate mofetil pharmacokinetics, which were characterised by a decrease in the maximum exposure and availability of mycophenolic acid, at least at early time points. Post-2006 data were also available outlining the altered pharmacokinetics of protease inhibitors with concomitant PPI exposure. New data for the more recently marketed dexlansoprazole suggest it has no impact on the pharmacokinetics of diazepam, phenytoin, theophylline and warfarin. The CYP2C19-mediated interaction that seems to exist between clopidogrel and omeprazole or esomeprazole has been shown to be clinically important in research published since the 2006 review; this effect is not seen as a class effect of PPIs. Finally, data suggest that coadministration of PPIs with methotrexate may affect methotrexate pharmacokinetics, although the mechanism of interaction is not well understood. As was shown in the previous review, individual PPIs differ in their propensities to interact with other drugs and the extent to which their interaction profiles have been defined. The interaction profiles of omeprazole and pantoprazole sodium (pantoprazole-Na) have been studied most extensively. Several studies have shown that omeprazole carries a considerable potential for drug interactions because of its high affinity for CYP2C19 and moderate affinity for CYP3A4. In contrast, pantoprazole-Na appears to have

  11. Participatory design for drug-drug interaction alerts.

    PubMed

    Luna, Daniel; Otero, Carlos; Almerares, Alfredo; Stanziola, Enrique; Risk, Marcelo; González Bernaldo de Quirós, Fernán

    2015-01-01

    The utilization of decision support systems, in the point of care, to alert drug-drug interactions has been shown to improve quality of care. Still, the use of these systems has not been as expected, it is believed, because of the difficulties in their knowledge databases; errors in the generation of the alerts and the lack of a suitable design. This study expands on the development of alerts using participatory design techniques based on user centered design process. This work was undertaken in three stages (inquiry, participatory design and usability testing) it showed that the use of these techniques improves satisfaction, effectiveness and efficiency in an alert system for drug-drug interactions, a fact that was evident in specific situations such as the decrease of errors to meet the specified task, the time, the workload optimization and users overall satisfaction in the system.

  12. Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing

    PubMed Central

    Udrescu, Lucreţia; Sbârcea, Laura; Topîrceanu, Alexandru; Iovanovici, Alexandru; Kurunczi, Ludovic; Bogdan, Paul; Udrescu, Mihai

    2016-01-01

    Analyzing drug-drug interactions may unravel previously unknown drug action patterns, leading to the development of new drug discovery tools. We present a new approach to analyzing drug-drug interaction networks, based on clustering and topological community detection techniques that are specific to complex network science. Our methodology uncovers functional drug categories along with the intricate relationships between them. Using modularity-based and energy-model layout community detection algorithms, we link the network clusters to 9 relevant pharmacological properties. Out of the 1141 drugs from the DrugBank 4.1 database, our extensive literature survey and cross-checking with other databases such as Drugs.com, RxList, and DrugBank 4.3 confirm the predicted properties for 85% of the drugs. As such, we argue that network analysis offers a high-level grasp on a wide area of pharmacological aspects, indicating possible unaccounted interactions and missing pharmacological properties that can lead to drug repositioning for the 15% drugs which seem to be inconsistent with the predicted property. Also, by using network centralities, we can rank drugs according to their interaction potential for both simple and complex multi-pathology therapies. Moreover, our clustering approach can be extended for applications such as analyzing drug-target interactions or phenotyping patients in personalized medicine applications. PMID:27599720

  13. [Fruit and berries--interactions with drugs].

    PubMed

    Molden, Espen; Spigset, Olav

    2007-12-13

    Diet is one of many factors that could alter the pharmacokinetics of drugs. Several fruits and berries have recently been shown to contain agents that affect drug-metabolizing enzymes. Grapefruit is the most well-known example, but also Sevillian orange, pomelo and star fruit contain agents that inhibit cytochrome P450 3A4 (CYP3A4), which is the most important enzyme in drug metabolism. The present article reviews published information on potential interactions between drugs and fruits/berries, with main focus on inhibition and induction of metabolizing enzymes.

  14. Clinical evaluation of hypnotic drugs: contributions from sleep laboratory studies.

    PubMed

    Kales, A; Scharf, M B; Soldatos, C R; Bixler, E O

    1979-07-01

    The most thorough and clinically relevant approach to hypnotic drug evaluation is one that balances the strengths and weaknesses of clinical trials and sleep laboratory evaluations. Advantages of clinical trials include the ability to evaluate large numbers of subjects and specific target groups and to thoroughly assess and quantify a drug's side effects, whereas sleep laboratory studies are very limited in all of these areas. Sleep laboratory studies however provide a rigorous, precise, and comprehensive profile of a drug's activity since there is more control over experimental variables and measurements are objective as well as continuous throughout the night. These benefits offset the shortcomings of clinical trials, which include a lack of objective measurements, less control over experimental variables, failure to evaluate a drug's effectiveness with continued use, and inattention to drug interaction and withdrawal effect. Several basic principles derived from sleep laboratory findings have been incorporated into both the clinical trials and sleep laboratory evaluations recommended in the new FDA Guidelines for the Clinical Evaluation of Hypnotic Drugs. These principles include provision for adequate baseline and withdrawal periods, use of multiple consecutive drug nights to assess a drug's effectiveness with continued use, and inclusion of an adequate washout period when a cross-over design is used. The guidelines do not emphasize either clinical trials or sleep laboratory studies at the expense of each other, but rather stress their complementary utilization.

  15. Does Your Drug Expertise Include Clinical Pharmaceutics?

    PubMed

    Newton, David W

    2016-01-01

    Whose job is it to protect patients from harm from drug instabilities and incompatibilities and other aspects of clinical pharmaceutics? Pharmacists are better educated via multiple required general and organic chemistry prerequisite and professional curricula medicinal chemistry and pharmaceutics courses. Therefore, no healthcare professional other than pharmacists are nicknamed drug experts or are better formally educated to master drug chemistry in the bottle (i.e., injection stability and compatibility/incompatibility clinical pharmaceutics) as a prerequisite for drug administration to cause safe and effective drug chemistry in the body (i.e., clinical pharmacokinetics and pharmacology). To be a patient's last chance for safe and effective drug therapy requires terminal control by pharmacists over identification, retrieval, preparation, labeling, and counseling or instruction of drug therapy. Copyright© by International Journal of Pharmaceutical Compounding, Inc.

  16. Drug-drug interactions that interfere with statin metabolism.

    PubMed

    Hirota, Takeshi; Ieiri, Ichiro

    2015-01-01

    Lipid-lowering drugs, especially hydroxymethylglutaryl-CoA reductase inhibitors (statins), are widely used in the treatment and prevention of atherosclerotic diseases. The benefits of statins are well documented. However, myotoxic side effects, which can sometimes be severe, including myopathy or rhabdomyolysis, have been associated with the use of statins. In some cases, this toxicity is associated with pharmacokinetic alterations. Potent inhibitors of CYP 3A4 significantly increase plasma concentrations of the active forms of simvastatin, lovastatin and atorvastatin. Fluvastatin is metabolized by CYP2C9, while pravastatin, rosuvastatin and pitavastatin are not susceptible to inhibition by any CYP. This review discusses the pharmacokinetic aspects of the drug-drug interaction with statins and genetic polymorphisms in CYPs, which are involved in the metabolism of statins, and highlights the importance of establishing a system utilizing electronic medical information practically to avoid adverse drug reactions. An understanding of the mechanisms underlying statin interactions will help to minimize drug interactions and develop statins that are less prone to adverse interactions. Quantitatively analyzed information for the low-density lipoprotein cholesterol lowering effects of statin based on electronic medical records may be useful for avoiding the adverse effect of statins.

  17. Drug interactions between prescribed and over-the-counter medication.

    PubMed

    Honig, P K; Gillespie, B K

    1995-11-01

    The use and availability of over-the-counter (OTC) medication is increasing. Although regulatory agencies take care to assure than nonprescription medications are safe and effective, these drugs still have the potential to have clinically significant interactions with prescription medicines. The major classes of OTC medication to be considered in this light include antacids, histamine H2 receptor antagonists, NSAIDs, cough and cold preparations and the antiasthma products. Healthcare providers and patients/consumers should be educated regarding possible drug interactions, patient drug regimens should be simplified where possible, and all therapeutic failures and adverse reactions should be investigated with regard to the potential contribution of OTC drug products. Regulatory agencies and pharmaceutical manufacturers should ensure that nonprescription drug labelling is complete and intelligible to meet these objectives. Consideration should be given to improving the postmarketing surveillance of OTC medications.

  18. Potential drug interactions with dietary and herbal supplements during hospitalization.

    PubMed

    Levy, Ilana; Attias, Samuel; Ben-Arye, Eran; Goldstein, Lee; Schiff, Elad

    2017-04-01

    Dietary and herbal supplements (DHS) are widely used in the general population, including during hospitalization. Yet, their potential interactions with prescription drugs have seldom been delineated among inpatients. We aimed to evaluate potentially dangerous interactions of DHS with prescribed medications among inpatients. This was a cross-sectional prospective study involving a cohort of patients hospitalized in 12 departments of a public academic medical center (Bnai Zion Medical Center, Haifa, Israel) from 2009 to 2014. DHS users were determined via a questionnaire. The Natural Medicine database was used to search for potential DHS-drug interactions for identified DHS, and the clinical significance was evaluated using Lexi-interact online interaction analysis. Medical files were assessed for documentation of DHS use. Univariate and multivariate logistic regression analyses were used to characterize potential risk factors for DHS-drug interactions. Of 927 patients consenting to answer the questionnaire, 458 (49 %) reported DHS use. Of these, 215 (47 %) had at least one potential interaction during hospitalization (759 interactions). Of these interactions, 116 (15 %) were potentially clinically significant. Older age [OR = 1.02 (1.01-1.04), p = 0.002], males [OR = 2.11 (1.35-3.29), p = 0.001] and increased number of used DHS [OR = 4.28 (2.28-8.03), p < 0.001] or drugs [OR = 1.95 (1.17-3.26), p = 0.011] were associated with potential interactions in DHS users. Physicians documented only 16.5 % of DHS involved in these interactions in patients' medical files. In conclusion, a substantial number of inpatients use DHS with potential interactions with concomitant medications. Medical staff should be aware of this, question patients on DHS usage and check for such interactions.

  19. Drug Hypersensitivity: How Drugs Stimulate T Cells via Pharmacological Interaction with Immune Receptors.

    PubMed

    Pichler, Werner J; Adam, Jacqueline; Watkins, Stephen; Wuillemin, Natascha; Yun, James; Yerly, Daniel

    2015-01-01

    Small chemicals like drugs tend to bind to proteins via noncovalent bonds, e.g. hydrogen bonds, salt bridges or electrostatic interactions. Some chemicals interact with other molecules than the actual target ligand, representing so-called 'off-target' activities of drugs. Such interactions are a main cause of adverse side effects to drugs and are normally classified as predictable type A reactions. Detailed analysis of drug-induced immune reactions revealed that off-target activities also affect immune receptors, such as highly polymorphic human leukocyte antigens (HLA) or T cell receptors (TCR). Such drug interactions with immune receptors may lead to T cell stimulation, resulting in clinical symptoms of delayed-type hypersensitivity. They are assigned the 'pharmacological interaction with immune receptors' (p-i) concept. Analysis of p-i has revealed that drugs bind preferentially or exclusively to distinct HLA molecules (p-i HLA) or to distinct TCR (p-i TCR). P-i reactions differ from 'conventional' off-target drug reactions as the outcome is not due to the effect on the drug-modified cells themselves, but is the consequence of reactive T cells. Hence, the complex and diverse clinical manifestations of delayed-type hypersensitivity are caused by the functional heterogeneity of T cells. In the abacavir model of p-i HLA, the drug binding to HLA may result in alteration of the presenting peptides. More importantly, the drug binding to HLA generates a drug-modified HLA, which stimulates T cells directly, like an allo-HLA. In the sulfamethoxazole model of p-i TCR, responsive T cells likely require costimulation for full T cell activation. These findings may explain the similarity of delayed-type hypersensitivity reactions to graft-versus-host disease, and how systemic viral infections increase the risk of delayed-type hypersensitivity reactions.

  20. From promising molecules to orphan drugs: Early clinical drug development

    PubMed Central

    Dooms, Marc

    2017-01-01

    Summary Phase-1 (also known as “First-in-Man”) clinical trials initiate the early clinical development of possible new medicines. Patient participation in this early phase of clinical trials is rather limited. After successful phase 1 trials, further phase 2 and phase 3 clinical trials in patients may lead to a marketing authorization. In the first 15 years of the European Union Orphan Drug Directive, 4.5% of the orphan drug applications were authorized. However, for many of these orphan drugs, no phase 1 studies were required, as these products were already well known pharmaceutical substances, with a clearly defined pharmacological profile. Furthermore, for 19 orphan drugs, already authorized by the European Medicines Agency (EMA), the original rare indication was extended to another rare disease and no phase 1 trials were needed. Phase 1 studies need to be performed in a sufficient number of volunteers even for medicinal products intended for a very limited number of patients. PMID:28357178

  1. Potential risks resulting from fruit/vegetable-drug interactions: effects on drug-metabolizing enzymes and drug transporters.

    PubMed

    Rodríguez-Fragoso, Lourdes; Martínez-Arismendi, José Luis; Orozco-Bustos, Danae; Reyes-Esparza, Jorge; Torres, Eliseo; Burchiel, Scott W

    2011-05-01

    It has been well established that complex mixtures of phytochemicals in fruits and vegetables can be beneficial for human health. Moreover, it is becoming increasingly apparent that phytochemicals can influence the pharmacological activity of drugs by modifying their absorption characteristics through interactions with drug transporters as well as drug-metabolizing enzyme systems. Such effects are more likely to occur in the intestine and liver, where high concentrations of phytochemicals may occur. Alterations in cytochrome P450 and other enzyme activities may influence the fate of drugs subject to extensive first-pass metabolism. Although numerous studies of nutrient-drug interactions have been published and systematic reviews and meta-analyses of these studies are available, no generalizations on the effect of nutrient-drug interactions on drug bioavailability are currently available. Several publications have highlighted the unintended consequences of the combined use of nutrients and drugs. Many phytochemicals have been shown to have pharmacokinetic interactions with drugs. The present review is limited to commonly consumed fruits and vegetables with significant beneficial effects as nutrients and components in folk medicine. Here, we discuss the phytochemistry and pharmacokinetic interactions of the following fruit and vegetables: grapefruit, orange, tangerine, grapes, cranberry, pomegranate, mango, guava, black raspberry, black mulberry, apple, broccoli, cauliflower, watercress, spinach, tomato, carrot, and avocado. We conclude that our knowledge of the potential risk of nutrient-drug interactions is still limited. Therefore, efforts to elucidate potential risks resulting from food-drug interactions should be intensified in order to prevent undesired and harmful clinical consequences. © 2011 Institute of Food Technologists®

  2. Drug interactions with phytotherapeutics in oncology.

    PubMed

    Haefeli, Walter Emil; Carls, Alexandra

    2014-03-01

    Because 30 to 70% of tumour patients use complementary and alternative medicines; herb-drug combinations are particularly frequent in this population. Some of these combinations can critically alter exposure of anti-neoplastic and palliative treatment. This review summarises pharmacokinetic drug interactions caused by the herbal products most frequently used by tumour patients (garlic, ginkgo, ginseng, echinacea and St John's wort [SJW]). Herb-drug interactions, in general, and some interactions in particular (e.g., transporters, Phase II metabolism enzymes) are still poorly investigated and are difficult to evaluate because mixtures are administered with variable and often unspecified amounts of ingredients. Current evidence suggests that garlic and ginkgo can be safely co-administered, whereas CYP2C9 substrates (e.g., warfarin) should be monitored closely when ginseng therapy is started. Echinacea can induce drug metabolism mediated by CYP3A, but most likely relevant when administered with substances with a narrow therapeutic index or low oral bioavailability. The most relevant herbal perpetrator drug is SJW, which has substantial impact on CYP3A4- and CYP2C9-mediated metabolism and P-glycoprotein-mediated transport. This may lower exposure of co-administered drugs by up to 70%. Such an interaction is expected to occur with most of the tyrosine kinase inhibitors, but current evidence is limited.

  3. QSAR Modeling and Prediction of Drug-Drug Interactions.

    PubMed

    Zakharov, Alexey V; Varlamova, Ekaterina V; Lagunin, Alexey A; Dmitriev, Alexander V; Muratov, Eugene N; Fourches, Denis; Kuz'min, Victor E; Poroikov, Vladimir V; Tropsha, Alexander; Nicklaus, Marc C

    2016-02-01

    Severe adverse drug reactions (ADRs) are the fourth leading cause of fatality in the U.S. with more than 100,000 deaths per year. As up to 30% of all ADRs are believed to be caused by drug-drug interactions (DDIs), typically mediated by cytochrome P450s, possibilities to predict DDIs from existing knowledge are important. We collected data from public sources on 1485, 2628, 4371, and 27,966 possible DDIs mediated by four cytochrome P450 isoforms 1A2, 2C9, 2D6, and 3A4 for 55, 73, 94, and 237 drugs, respectively. For each of these data sets, we developed and validated QSAR models for the prediction of DDIs. As a unique feature of our approach, the interacting drug pairs were represented as binary chemical mixtures in a 1:1 ratio. We used two types of chemical descriptors: quantitative neighborhoods of atoms (QNA) and simplex descriptors. Radial basis functions with self-consistent regression (RBF-SCR) and random forest (RF) were utilized to build QSAR models predicting the likelihood of DDIs for any pair of drug molecules. Our models showed balanced accuracy of 72-79% for the external test sets with a coverage of 81.36-100% when a conservative threshold for the model's applicability domain was applied. We generated virtually all possible binary combinations of marketed drugs and employed our models to identify drug pairs predicted to be instances of DDI. More than 4500 of these predicted DDIs that were not found in our training sets were confirmed by data from the DrugBank database.

  4. Medical imaging in new drug clinical development.

    PubMed

    Wang, Yi-Xiang; Deng, Min

    2010-12-01

    Medical imaging can help answer key questions that arise during the drug development process. The role of medical imaging in new drug clinical trials includes identification of likely responders; detection and diagnosis of lesions and evaluation of their severity; and therapy monitoring and follow-up. Nuclear imaging techniques such as PET can be used to monitor drug pharmacokinetics and distribution and study specific molecular endpoints. In assessing drug efficacy, imaging biomarkers and imaging surrogate endpoints can be more objective and faster to measure than clinical outcomes, and allow small group sizes, quick results and good statistical power. Imaging also has important role in drug safety monitoring, particularly when there is no other suitable biomarkers available. Despite the long history of radiological sciences, its application to the drug development process is relatively recent. This review highlights the processes, opportunities, and challenges of medical imaging in new drug development.

  5. Potential drug interactions with statins: Estonian register-based study

    PubMed Central

    Volmer, Daisy; Hartikainen, Sirpa; Zharkovsky, Alexander

    2015-01-01

    In Estonia, HMG-CoA reductase inhibitors are widely used to modify lipid levels but there are no current data on additional medicines prescribed alongside the statins. The aim of this study was to identify the frequency of potential clinically relevant interactions at a national level among an outpatient population treated with statins between January and June 2008, based on the prescription database of the Estonian Health Insurance Fund. This retrospective prevalence study included 203,646 outpatients aged 50 years or older, of whom 29,367 received statin therapy. The study analysed individuals who had used at least one prescription medicine for a minimum of 7 days concomitantly with statins. Potential drug interactions were analysed using Epocrates online, Stockley’s Drug Interactions, and the drug interaction database developed in Estonia. Statins metabolised by the CYP3A4 isoenzyme were prescribed to 64% of all statin users. Medicines known to have potentially clinically significant interactions with statins were prescribed to 4.6% of patients. The drugs prescribed concomitantly most often with simvastatin were warfarin (5.7%) and amiodarone (3.9%), whereas digoxin (1.2%) and ethinylestradiol (2%) were prescribed with atorvastatin. Potential interactions were not detected in the treatment regimens of rosuvastatin, pravastatin, and fluvastatin users. PMID:28352703

  6. Clinical Management of HIV Drug Resistance

    PubMed Central

    Cortez, Karoll J.; Maldarelli, Frank

    2011-01-01

    Combination antiretroviral therapy for HIV-1 infection has resulted in profound reductions in viremia and is associated with marked improvements in morbidity and mortality. Therapy is not curative, however, and prolonged therapy is complicated by drug toxicity and the emergence of drug resistance. Management of clinical drug resistance requires in depth evaluation, and includes extensive history, physical examination and laboratory studies. Appropriate use of resistance testing provides valuable information useful in constructing regimens for treatment-experienced individuals with viremia during therapy. This review outlines the emergence of drug resistance in vivo, and describes clinical evaluation and therapeutic options of the individual with rebound viremia during therapy. PMID:21994737

  7. [Potential interactions between drugs and dietary supplements].

    PubMed

    Farghali, Hassan; Kameníková, Ludmila; Hodis, Jiří; Kutinová Canová, Nikolina

    2014-01-01

    Purified active plant constituents were isolated and assessed for their pharmacological activities that constitute a basis of modern drug development. The situation with herbal supplements is different because the extract or dried herb or mixture of herbs contains several substances beside the beneficial one(s) that might produce drug interaction with the conventional medicine(s). Most patients are misinformed and believe that anything "natural" must be safe. This article is focusing on plant-based substances referred as dietary supplements (DS). Examples of reported drug interactions and contraindications associated with DS with two case studies are presented. As supplements are typically not prescribed, many doctors seem to have no interest in drug-DS interactions since a typical medical history of the patients does not include any questions about self-prescribed remedies of this nature. Rather, patients are left alone when they are tempted to try this or that DS and tend to rely on advice from friends, or on material they read on internet. A better quality control, compliance, public awareness and healthcare professionals vigilance for potential interactions are needed. It is of utmost importance to appreciate the impact of supplements on different stages of pharmacokinetics, especially on drug absorption and metabolism.

  8. Drug–drug interactions with imatinib

    PubMed Central

    Récoché, Isabelle; Rousseau, Vanessa; Bourrel, Robert; Lapeyre-Mestre, Maryse; Chebane, Leila; Despas, Fabien; Montastruc, Jean-Louis; Bondon-Guitton, Emmanuelle

    2016-01-01

    Abstract Many patients treated with imatinib, used in cancer treatment, are using several other drugs that could interact with imatinib. Our aim was to study all the drug–drug interactions (DDIs) observed in patients treated with imatinib. We performed 2 observational studies, between the 1st January 2012 and the 31st August 2015 in the Midi-Pyrénées area (South Western France), using the French health insurance reimbursement database and then the French Pharmacovigilance Database (FPVD). A total of 544 patients received at least 1 reimbursement for imatinib. Among them, 486 (89.3%) had at least 1 drug that could potentially interact with imatinib. Paracetamol was the most frequent drug involved (77.4%). Proton pump inhibitors, dexamethasone and levothyroxine, were found in >10% of patients. In the FPVD, among a total of 25 reports of ADRs with imatinib recorded in the Midi-Pyrénées area, 10 (40%) had potential DDIs with imatinib. Imatinib was most frequently prescribed by hospital physicians and drugs interacting with imatinib, by general practitioners. Our study showed that at least 40% of the patients treated with imatinib were at risk of DDIs and that all prescribers must be cautious with DDIs in patients treated with imatinib. During imatinib treatment, we particularly recommend to limit the dose of paracetamol at 1300 mg per day, to avoid the use of dexamethasone, and to double the dose of levothyroxine. PMID:27749579

  9. 78 FR 20664 - Society of Clinical Research Associates-Food and Drug Administration: Food and Drug...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-04-05

    ... HUMAN SERVICES Food and Drug Administration Society of Clinical Research Associates-Food and Drug Administration: Food and Drug Administration Clinical Trial Requirements, Regulations, Compliance, and Good Clinical Practice AGENCY: Food and Drug Administration, HHS. ACTION: Notice of conference. SUMMARY:...

  10. Similarity-based modeling in large-scale prediction of drug-drug interactions

    PubMed Central

    Vilar, Santiago; Uriarte, Eugenio; Santana, Lourdes; Lorberbaum, Tal; Hripcsak, George; Friedman, Carol; Tatonetti, Nicholas P

    2015-01-01

    Drug-drug interactions (DDIs) are a major cause of adverse drug effects and a public health concern, as they increase hospital care expenses and reduce patients’ quality of life. DDI detection is, therefore, an important objective in patient safety, one whose pursuit affects drug development and pharmacovigilance. In this article, we describe a protocol applicable on a large scale to predict novel DDIs based on similarity of drug interaction candidates to drugs involved in established DDIs. the method integrates a reference standard database of known DDIs with drug similarity information extracted from different sources, such as 2D and 3D molecular structure, interaction profile, target and side-effect similarities. the method is interpretable in that it generates drug interaction candidates that are traceable to pharmacological or clinical effects. We describe a protocol with applications in patient safety and preclinical toxicity screening. the time frame to implement this protocol is 5–7 h, with additional time potentially necessary, depending on the complexity of the reference standard DDI database and the similarity measures implemented. PMID:25122524

  11. Pharmacokinetic Herb-Drug Interaction between Essential Oil of Aniseed (Pimpinella anisum L., Apiaceae) and Acetaminophen and Caffeine: A Potential Risk for Clinical Practice.

    PubMed

    Samojlik, Isidora; Petković, Stojan; Stilinović, Nebojša; Vukmirović, Saša; Mijatović, Vesna; Božin, Biljana

    2016-02-01

    Aniseed (Pimpinella anisum L., Apiaceae) and its essential oil (EO) have been widely used. Because there are some data about the impact of aniseed EO on drug effects, this survey aimed to assess the potential of pharmacokinetic herb-drug interaction between aniseed EO and acetaminophen and caffeine in mice. The chemical analysis (gas chromatography-mass spectrometry) of aniseed EO has confirmed trans-anethole (87.96%) as the main component. The pharmacokinetic studies of intraperitoneally (i.p.) and orally applied acetaminophen (200 mg/kg) and caffeine (20 mg/kg) were performed in mice after 5 days of oral treatment with human equivalent dose of aniseed EO (0.3 mg/kg/day). The analysis of pharmacokinetic data showed that in the group treated by aniseed EO, the significant decrease in the peak plasma concentration of acetaminophen after oral application (p = 0.024) was revealed when compared with control group and the reduction of systemic exposure to the drug after oral application (74 ± 32% vs. 85 ± 35% in the control) was noted. The bioavailability of orally applied caffeine was also significantly decreased (p = 0.022) after the EO treatment in comparison with the control (57 ± 24% vs. 101 ± 29%). Therefore, the compromised therapeutic efficacy of acetaminophen and caffeine during the usage of aniseed EO preparations should be considered. Copyright © 2015 John Wiley & Sons, Ltd.

  12. Drug-Drug Interactions and Diagnostics for Drug Users With HIV and HIV/HCV Coinfections: Introduction.

    PubMed

    Khalsa, Jag H; Talal, Andrew H; Morse, Gene

    2017-03-01

    Substance use and pharmacologic treatment of co-occurring infections such as human immunodeficiency virus (HIV) and hepatitis C virus (HCV) are associated with many adverse consequences including pharmacokinetic and pharmacodynamic drug-drug interactions (DDIs). The National Institute on Drug Abuse sponsored a 2-day conference on DDIs at which clinicians/scientists from government, academia, and the pharmaceutical industry presented the most current research findings to formulate a comprehensive overview of DDIs. Specific topics discussed included drug metabolism; drug interactions between medications used in the treatment of HIV, HCV, and substance use disorders; intrahepatic concentrations and methods of assessment of drugs in liver disease of varying etiologies and degrees of impairment; and minimally invasive sampling techniques for the assessment of intrahepatic drug concentrations, viral replication, and changes in gene expression in response to treatment. Finally, the speakers identified research targets and priorities on DDIs. Areas of emphasis included development of diagnostic assays for drug concentration assessment in different organs, an enhanced understanding of factors responsible for alterations in drug metabolism and excretion, and establishment of clinical trials and work groups to study DDIs. Our long-term objective is to broaden investigation in the field of DDIs in substance users. © 2017, The American College of Clinical Pharmacology.

  13. Drug-drug, drug-dietary supplement, and drug-citrus fruit and other food interactions: what have we learned?

    PubMed

    Huang, Shiew-Mei; Lesko, Lawrence J

    2004-06-01

    Serious drug-drug interactions have contributed to recent U.S. market withdrawals and also recent nonapprovals of a few new molecular entities. Many of these interactions involved the inhibition or induction of metabolizing enzymes and efflux transporters, resulting in altered systemic exposure and adverse drug reactions or loss of efficacy. In addition to drug-drug interactions, drug-dietary supplement and drug-citrus fruit interactions, among others, could also cause adverse drug reactions or loss of efficacy and are important issues to consider in the evaluation of new drug candidates. This commentary reviews (1). the current understanding of the mechanistic basis of these interactions, (2). issues to consider in the interpretation of study results, and (3). recent labeling examples to illustrate the translation of study results to information useful for patients and health care providers.

  14. Collagen interactions: Drug design and delivery.

    PubMed

    An, Bo; Lin, Yu-Shan; Brodsky, Barbara

    2016-02-01

    Collagen is a major component in a wide range of drug delivery systems and biomaterial applications. Its basic physical and structural properties, together with its low immunogenicity and natural turnover, are keys to its biocompatibility and effectiveness. In addition to its material properties, the collagen triple-helix interacts with a large number of molecules that trigger biological events. Collagen interactions with cell surface receptors regulate many cellular processes, while interactions with other ECM components are critical for matrix structure and remodeling. Collagen also interacts with enzymes involved in its biosynthesis and degradation, including matrix metalloproteinases. Over the past decade, much information has been gained about the nature and specificity of collagen interactions with its partners. These studies have defined collagen sequences responsible for binding and the high-resolution structures of triple-helical peptides bound to its natural binding partners. Strategies to target collagen interactions are already being developed, including the use of monoclonal antibodies to interfere with collagen fibril formation and the use of triple-helical peptides to direct liposomes to melanoma cells. The molecular information about collagen interactions will further serve as a foundation for computational studies to design small molecules that can interfere with specific interactions or target tumor cells. Intelligent control of collagen biological interactions within a material context will expand the effectiveness of collagen-based drug delivery.

  15. Social interaction and drug attitude effectiveness in patients with schizophrenia.

    PubMed

    Tsai, Jui-Kang; Lin, Wen-Kuo; Lung, For-Wey

    2011-12-01

    This study aimed to explore the relationship between dosage of paliperidone and drug attitude, and also clarify the factors associated with drug attitude, using Intention-to-Treat (ITT) analysis. Three hundred thirty-one patients diagnosed with schizophrenia, who prescribed paliperidone between April 2008 and April 2009, from 10 hospitals in Taiwan were enrolled. By structural equation modeling, inpatient/outpatient status associated with occupation status, sex, and score on the Clinical Global Impression-Severity (CGIS) Scale. The score on the Personal and Social Performance (PSP) Scale associated with occupation status, inpatient/outpatient status, and the score on the CGIS Scale. The scores on the DAI-10 associated with the score on the PSP Scale and age. Good drug attitude and medication adherence significantly related to good social interaction. We should enhance the drug attitude and medication adherence of patients with schizophrenia who have poor social interaction to improve the outcome of schizophrenia.

  16. Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions.

    PubMed

    Kolchinsky, A; Lourenço, A; Li, L; Rocha, L M

    2013-01-01

    Drug-drug interaction (DDI) is a major cause of morbidity and mortality. DDI research includes the study of different aspects of drug interactions, from in vitro pharmacology, which deals with drug interaction mechanisms, to pharmaco-epidemiology, which investigates the effects of DDI on drug efficacy and adverse drug reactions. Biomedical literature mining can aid both kinds of approaches by extracting relevant DDI signals from either the published literature or large clinical databases. However, though drug interaction is an ideal area for translational research, the inclusion of literature mining methodologies in DDI workflows is still very preliminary. One area that can benefit from literature mining is the automatic identification of a large number of potential DDIs, whose pharmacological mechanisms and clinical significance can then be studied via in vitro pharmacology and in populo pharmaco-epidemiology. We implemented a set of classifiers for identifying published articles relevant to experimental pharmacokinetic DDI evidence. These documents are important for identifying causal mechanisms behind putative drug-drug interactions, an important step in the extraction of large numbers of potential DDIs. We evaluate performance of several linear classifiers on PubMed abstracts, under different feature transformation and dimensionality reduction methods. In addition, we investigate the performance benefits of including various publicly-available named entity recognition features, as well as a set of internally-developed pharmacokinetic dictionaries. We found that several classifiers performed well in distinguishing relevant and irrelevant abstracts. We found that the combination of unigram and bigram textual features gave better performance than unigram features alone, and also that normalization transforms that adjusted for feature frequency and document length improved classification. For some classifiers, such as linear discriminant analysis (LDA), proper

  17. Concomitant therapy in people with epilepsy: potential drug-drug interactions and patient awareness.

    PubMed

    Eyal, Sara; Rasaby, Sivan; Ekstein, Dana

    2014-02-01

    People with epilepsy (PWE) may use prescription and over-the-counter (OTC) drugs for the treatment of concomitant diseases. Combinations of these drugs, as well as dietary supplements, with antiepileptic drugs (AEDs) may lead to reduced control of seizures and of coexisting medical conditions and increased risk of adverse drug reactions (ADRs). The aims of this study were to obtain comprehensive lists of medications, dietary supplements, botanicals, and specific food components used by adult PWE and to evaluate the potential for interactions involving AEDs and patients' awareness of such potential interactions. We conducted a prospective, questionnaire-based study of PWE attending the Hadassah-Hebrew University Epilepsy Clinic over a period of 7months. The questionnaire interview included the listing of medications, medicinal herbs, dietary supplements, and specific food components consumed and the knowledge of potential drug-drug interactions (DDIs), and it was conducted by a pharmacist. Drug-drug interactions were analyzed via the Micromedex online database. Out of 179 patients who attended the clinic over the study period, we interviewed 73 PWE, of which 71 were included in our final analysis. The mean number of AEDs consumed per subject was 1.7 (SD: 0.8, range: 1-4). Forty (56%) subjects were also treated with other prescription and/or OTC medications, and thirty-four (48%) took dietary supplements. Drug families most prone to DDIs involving AEDs included antipsychotic agents, selective serotonin reuptake inhibitors, and statins. Two-thirds of study participants (67%) knew that DDIs may lead to ADRs, but only half (56%) were aware of the potential for reduced seizure control. Only 44% always reported treatment with AEDs to medical professionals. This study provides for the first time a comprehensive picture of prescription and OTC drugs and food supplements used by PWE. Despite a considerable potential for DDIs involving AEDs, patient awareness is limited

  18. Validation of a transparent decision model to rate drug interactions

    PubMed Central

    2012-01-01

    Background Multiple databases provide ratings of drug-drug interactions. The ratings are often based on different criteria and lack background information on the decision making process. User acceptance of rating systems could be improved by providing a transparent decision path for each category. Methods We rated 200 randomly selected potential drug-drug interactions by a transparent decision model developed by our team. The cases were generated from ward round observations and physicians’ queries from an outpatient setting. We compared our ratings to those assigned by a senior clinical pharmacologist and by a standard interaction database, and thus validated the model. Results The decision model rated consistently with the standard database and the pharmacologist in 94 and 156 cases, respectively. In two cases the model decision required correction. Following removal of systematic model construction differences, the DM was fully consistent with other rating systems. Conclusion The decision model reproducibly rates interactions and elucidates systematic differences. We propose to supply validated decision paths alongside the interaction rating to improve comprehensibility and to enable physicians to interpret the ratings in a clinical context. PMID:22950884

  19. Efficiently mining Adverse Event Reporting System for multiple drug interactions

    PubMed Central

    Xiang, Yang; Albin, Aaron; Ren, Kaiyu; Zhang, Pengyue; Etter, Jonathan P.; Lin, Simon; Li, Lang

    2014-01-01

    Efficiently mining multiple drug interactions and reactions from Adverse Event Reporting System (AERS) is a challenging problem which has not been sufficiently addressed by existing methods. To tackle this challenge, we propose a FCI-fliter approach which leverages the efforts of UMLS mapping, frequent closed itemset mining, and uninformative association identification and removal. By applying our method on AERS, we identified a large number of multiple drug interactions with reactions. By statistical analysis, we found most of the identified associations have very small p-values which suggest that they are statistically significant. Further analysis on the results shows that many multiple drug interactions and reactions are clinically interesting, and suggests that our method may be further improved with the combination of external knowledge. PMID:25717411

  20. Drug-drug interactions between HMG-CoA reductase inhibitors (statins) and antiviral protease inhibitors.

    PubMed

    Chauvin, Benoit; Drouot, Sylvain; Barrail-Tran, Aurélie; Taburet, Anne-Marie

    2013-10-01

    The HMG-CoA reductase inhibitors are a class of drugs also known as statins. These drugs are effective and widely prescribed for the treatment of hypercholesterolemia and prevention of cardiovascular morbidity and mortality. Seven statins are currently available: atorvastatin, fluvastatin, lovastatin, pitavastatin, pravastatin, rosuvastatin and simvastatin. Although these drugs are generally well tolerated, skeletal muscle abnormalities from myalgia to severe lethal rhabdomyolysis can occur. Factors that increase statin concentrations such as drug-drug interactions can increase the risk of these adverse events. Drug-drug interactions are dependent on statins' pharmacokinetic profile: simvastatin, lovastatin and atorvastatin are metabolized through cytochrome P450 (CYP) 3A, while the metabolism of the other statins is independent of this CYP. All statins are substrate of organic anion transporter polypeptide 1B1, an uptake transporter expressed in hepatocyte membrane that may also explain some drug-drug interactions. Many HIV-infected patients have dyslipidemia and comorbidities that may require statin treatment. HIV-protease inhibitors (HIV PIs) are part of recommended antiretroviral treatment in combination with two reverse transcriptase inhibitors. All HIV PIs except nelfinavir are coadministered with a low dose of ritonavir, a potent CYP3A inhibitor to improve their pharmacokinetic properties. Cobicistat is a new potent CYP3A inhibitor that is combined with elvitegravir and will be combined with HIV-PIs in the future. The HCV-PIs boceprevir and telaprevir are both, to different extents, inhibitors of CYP3A. This review summarizes the pharmacokinetic properties of statins and PIs with emphasis on their metabolic pathways explaining clinically important drug-drug interactions. Simvastatin and lovastatin metabolized through CYP3A have the highest potency for drug-drug interaction with potent CYP3A inhibitors such as ritonavir- or cobicistat-boosted HIV-PI or the

  1. [Drug interactions in the elderly with diabetes mellitus].

    PubMed

    Hendrychová, T; Vlček, J

    2012-04-01

    The elderly with diabetes mellitus are usually treated with many types of drugs. This, together with pharmacokinetic and pharmacodynamic changes connected with aging, can lead to an occurrence of drug interactions. They are often manifested as hypoglycaemia, decompensation of diabetes or an increase of frequency of adverse effects of drugs used together. It is important to pay an attention especially to hypoglycaemia, which brings many risks in the elderly. An article is focused on probable drug interactions when combination of various antidiabetics, antidiabetics with antihypertensives or hypolipidemics is used. Despite ACE-inhibitors and beta-blockers can influence the compensation of diabetics, their use is not contraindicated in these patients, because of their huge benefit in the prevention of cardiovascular events. An article brings an overview of antidiabetics metabolised by means of the system of cytochrome P 450 and resulting drug interactions with inhibitors and inductors of these enzymes. These drug interactions are not usually important in clinical practice and it is possible to prevent them with careful monitoring of glycaemia, instruction of patients and alternatively modification of the doses of hypoglycaemic medication after a termination of the treatment of responsible inductor or inhibitor.

  2. Toward standardized reporting of drug interactions: the READI checklist for anecdotal reports.

    PubMed

    Aronson, Jeffrey K

    2015-01-01

    Anecdotal reports contribute 30% of the literature on adverse drug reactions and interactions. However, the quality of such reports has not been uniformly high. Standardized reporting of clinical studies is of increasing interest, including the CARE guidelines on reporting anecdotal cases in general. Although there are guidelines on evaluating and managing drug-drug interactions, there are none recommending methods for reporting suspected drug interactions. Here, based on published guidelines for reporting suspected adverse drug reactions, I propose a checklist for reporting details of suspected drug interactions, the REporting Anecdotal Drug Interactions (READI) checklist, hoping to stimulate discussion and improve reporting of suspected drug interactions. The checklist includes items relating, among others, to the patient affected, the drugs involved, and the outcome.

  3. Retention in outpatient drug free treatment clinics.

    PubMed

    Joe, G W; Singh, B K; Garland, J; Lehman, W; Sells, S B; Seder, P

    1983-01-01

    This study examined time in treatment and the percentage of clients who quit or were expelled from drug treatment clinics as dependent measures in a general model including socioecological aspects of the clinic neighborhood environment, the clinic structure (attributes, e.g., size, and services and staffing), and the client composition of the clinic (sociodemographic and deviance). In this study the clinic was the unit of analysis. The data were analyzed by means of path analysis, for (1) drug free outpatient, nonopiate orientation (DFO-N) and (2) drug free outpatient, opiate orientation (DFO-O). There were 204 DFO-N and 130 DFO-O clinics. The path analytic model proved to be useful for the explanation of clinic retention outcomes. The socioecological variables predicted the types of clients who entered treatment. These in turn along with clinic attributes were significant predictors of clinic retention. Clinic attributes also predicted clinic services and staffing. The results suggested that both clinic variables and client composition variables are important predictors of clinic retention.

  4. Adverse events caused by potential drug-drug interactions in an intensive care unit of a teaching hospital

    PubMed Central

    Alvim, Mariana Macedo; da Silva, Lidiane Ayres; Leite, Isabel Cristina Gonçalves; Silvério, Marcelo Silva

    2015-01-01

    Objective To evaluate the incidence of potential drug-drug interactions in an intensive care unit of a hospital, focusing on antimicrobial drugs. Methods This cross-sectional study analyzed electronic prescriptions of patients admitted to the intensive care unit of a teaching hospital between January 1 and March 31, 2014 and assessed potential drug-drug interactions associated with antimicrobial drugs. Antimicrobial drug consumption levels were expressed in daily doses per 100 patient-days. The search and classification of the interactions were based on the Micromedex® system. Results The daily prescriptions of 82 patients were analyzed, totaling 656 prescriptions. Antimicrobial drugs represented 25% of all prescription drugs, with meropenem, vancomycin and ceftriaxone being the most prescribed medications. According to the approach of daily dose per 100 patient-days, the most commonly used antimicrobial drugs were cefepime, meropenem, sulfamethoxazole + trimethoprim and ciprofloxacin. The mean number of interactions per patient was 2.6. Among the interactions, 51% were classified as contraindicated or significantly severe. Highly significant interactions (clinical value 1 and 2) were observed with a prevalence of 98%. Conclusion The current study demonstrated that antimicrobial drugs are frequently prescribed in intensive care units and present a very high number of potential drug-drug interactions, with most of them being considered highly significant. PMID:26761473

  5. Identification and Mechanistic Investigation of Drug-Drug Interactions Associated With Myopathy: A Translational Approach.

    PubMed

    Han, X; Quinney, S K; Wang, Z; Zhang, P; Duke, J; Desta, Z; Elmendorf, J S; Flockhart, D A; Li, L

    2015-09-01

    Myopathy is a group of muscle diseases that can be induced or exacerbated by drug-drug interactions (DDIs). We sought to identify clinically important myopathic DDIs and elucidate their underlying mechanisms. Five DDIs were found to increase the risk of myopathy based on analysis of observational data from the Indiana Network of Patient Care. Loratadine interacted with simvastatin (relative risk 95% confidence interval [CI] = [1.39, 2.06]), alprazolam (1.50, 2.31), ropinirole (2.06, 5.00), and omeprazole (1.15, 1.38). Promethazine interacted with tegaserod (1.94, 4.64). In vitro investigation showed that these DDIs were unlikely to result from inhibition of drug metabolism by CYP450 enzymes or from inhibition of hepatic uptake via the membrane transporter OATP1B1/1B3. However, we did observe in vitro synergistic myotoxicity of simvastatin and desloratadine, suggesting a role in loratadine-simvastatin interaction. This interaction was epidemiologically confirmed (odds ratio 95% CI = [2.02, 3.65]) using the data from the US Food and Drug Administration Adverse Event Reporting System. © 2015 The American Society for Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

  6. Making Transporter Models for Drug-Drug Interaction Prediction Mobile.

    PubMed

    Ekins, Sean; Clark, Alex M; Wright, Stephen H

    2015-10-01

    The past decade has seen increased numbers of studies publishing ligand-based computational models for drug transporters. Although they generally use small experimental data sets, these models can provide insights into structure-activity relationships for the transporter. In addition, such models have helped to identify new compounds as substrates or inhibitors of transporters of interest. We recently proposed that many transporters are promiscuous and may require profiling of new chemical entities against multiple substrates for a specific transporter. Furthermore, it should be noted that virtually all of the published ligand-based transporter models are only accessible to those involved in creating them and, consequently, are rarely shared effectively. One way to surmount this is to make models shareable or more accessible. The development of mobile apps that can access such models is highlighted here. These apps can be used to predict ligand interactions with transporters using Bayesian algorithms. We used recently published transporter data sets (MATE1, MATE2K, OCT2, OCTN2, ASBT, and NTCP) to build preliminary models in a commercial tool and in open software that can deliver the model in a mobile app. In addition, several transporter data sets extracted from the ChEMBL database were used to illustrate how such public data and models can be shared. Predicting drug-drug interactions for various transporters using computational models is potentially within reach of anyone with an iPhone or iPad. Such tools could help prioritize which substrates should be used for in vivo drug-drug interaction testing and enable open sharing of models.

  7. Drug-drug Interaction Discovery Using Abstraction Networks for “National Drug File – Reference Terminology” Chemical Ingredients

    PubMed Central

    Ochs, Christopher; Zheng, Ling; Gu, Huanying; Perl, Yehoshua; Geller, James; Kapusnik-Uner, Joan; Zakharchenko, Aleksandr

    2015-01-01

    The National Drug File – Reference Terminology (NDF-RT) is a large and complex drug terminology. NDF-RT provides important information about clinical drugs, e.g., their chemical ingredients, mechanisms of action, dosage form and physiological effects. Within NDF-RT such information is represented using tens of thousands of roles. It is difficult to comprehend large, complex terminologies like NDF-RT. In previous studies, we introduced abstraction networks to summarize the content and structure of terminologies. In this paper, we introduce the Ingredient Abstraction Network to summarize NDF-RT’s Chemical Ingredients and their associated drugs. Additionally, we introduce the Aggregate Ingredient Abstraction Network, for controlling the granularity of summarization provided by the Ingredient Abstraction Network. The Ingredient Abstraction Network is used to support the discovery of new candidate drug-drug interactions (DDIs) not appearing in First Databank, Inc.’s DDI knowledgebase. PMID:26958234

  8. Data mining for potential adverse drug-drug interactions.

    PubMed

    Hammann, Felix; Drewe, Juergen

    2014-05-01

    Patients, in particular elderly ones, frequently receive more than one drug at a time. With each drug added to a regime, the number of potential drug-drug interactions (DDIs) increases by a power law. Early prediction of relevant interactions by computerized tools greatly aids clinicians and can guide their prescribing choices. In this article, we discuss different types of DDIs, on which levels they can arise and what efforts have been made in the past to detect and predict them. The emphasis is on data mining technology and network analysis, but overlaps with traditional pharmacovigilance are also discussed. Finally, we discuss strategies to focus and simplify mining efforts to get meaningful results with less effort. The necessary technology for detecting adverse DDIs exists and is quite refined, although it is more often implied in lower risk scenarios (such as syntactic analysis in web searches and online libraries). Data mining for DDIs, on the other hand, still requires a great deal of human intervention, not only to validate the results but also, more importantly, to separate the relevant from the spurious. The fields of network analysis and graph theory show great promise but have not yet shown much beyond descriptive analyses.

  9. Challenges in the clinical development of new antiepileptic drugs.

    PubMed

    Schwabe, Stefan K

    2002-02-01

    The very nature of epilepsy makes the clinical development of new antiepileptic drugs a lengthy and costly process. The underlying disease mechanisms are largely unknown, reflecting the paucity of animal models that mirror the human condition. The risks of untreated epilepsy usually preclude the use of placebo as a control treatment except in patients receiving background medication. Thus, new AEDs must first display a treatment effect in patients with seizures known to be resistant to drug therapy, using study designs that are confounded by the potential pharmacodynamic and pharmacokinetic interactions associated with polytherapy. Moreover, the unpredictable nature of epilepsy often means lengthy clinical trials. Clinical development for antiepileptic drugs is inevitably more complex and time-consuming than for many other drugs. As a result the interval between product approval and loss of patent is often shorter. Creative methods of accelerating the development process without compromising the quality of research are needed.

  10. Synergistic interactions between ampakines and antipsychotic drugs.

    PubMed

    Johnson, S A; Luu, N T; Herbst, T A; Knapp, R; Lutz, D; Arai, A; Rogers, G A; Lynch, G

    1999-04-01

    Tests were made for interactions between antipsychotic drugs and compounds that enhance synaptic currents mediated by alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid-type glutamate receptors ("ampakines"). Typical and atypical antipsychotic drugs decreased methamphetamine-induced hyperactivity in rats; the effects of near or even subthreshold doses of the antipsychotics were greatly enhanced by the ampakines. Interactions between the ampakine CX516 and low doses of different antipsychotics were generally additive and often synergistic. The ampakine did not exacerbate neuroleptic-induced catalepsy, indicating that the interaction between the different pharmacological classes was selective. These results suggest that positive modulators of cortical glutamatergic systems may be useful adjuncts in treating schizophrenia.

  11. Comparative drug pair screening across multiple glioblastoma cell lines reveals novel drug-drug interactions

    PubMed Central

    Schmidt, Linnéa; Kling, Teresia; Monsefi, Naser; Olsson, Maja; Hansson, Caroline; Baskaran, Sathishkumar; Lundgren, Bo; Martens, Ulf; Häggblad, Maria; Westermark, Bengt; Forsberg Nilsson, Karin; Uhrbom, Lene; Karlsson-Lindahl, Linda; Gerlee, Philip; Nelander, Sven

    2013-01-01

    Background Glioblastoma multiforme (GBM) is the most aggressive brain tumor in adults, and despite state-of-the-art treatment, survival remains poor and novel therapeutics are sorely needed. The aim of the present study was to identify new synergistic drug pairs for GBM. In addition, we aimed to explore differences in drug-drug interactions across multiple GBM-derived cell cultures and predict such differences by use of transcriptional biomarkers. Methods We performed a screen in which we quantified drug-drug interactions for 465 drug pairs in each of the 5 GBM cell lines U87MG, U343MG, U373MG, A172, and T98G. Selected interactions were further tested using isobole-based analysis and validated in 5 glioma-initiating cell cultures. Furthermore, drug interactions were predicted using microarray-based transcriptional profiling in combination with statistical modeling. Results Of the 5 × 465 drug pairs, we could define a subset of drug pairs with strong interaction in both standard cell lines and glioma-initiating cell cultures. In particular, a subset of pairs involving the pharmaceutical compounds rimcazole, sertraline, pterostilbene, and gefitinib showed a strong interaction in a majority of the cell cultures tested. Statistical modeling of microarray and interaction data using sparse canonical correlation analysis revealed several predictive biomarkers, which we propose could be of importance in regulating drug pair responses. Conclusion We identify novel candidate drug pairs for GBM and suggest possibilities to prospectively use transcriptional biomarkers to predict drug interactions in individual cases. PMID:24101737

  12. Anticoagulant Medicine: Potential for Drug-Food Interactions

    MedlinePlus

    ... Medications Anticoagulants and Drug-Food Interactions Anticoagulants and Drug-Food Interactions Make an Appointment Ask a Question ... care provider before making the change. Anticoagulants and Medicine There are many medicines that can interact with ...

  13. Pharmacokinetic Interactions between Drugs and Botanical Dietary Supplements

    PubMed Central

    Sprouse, Alyssa A.

    2016-01-01

    The use of botanical dietary supplements has grown steadily over the last 20 years despite incomplete information regarding active constituents, mechanisms of action, efficacy, and safety. An important but underinvestigated safety concern is the potential for popular botanical dietary supplements to interfere with the absorption, transport, and/or metabolism of pharmaceutical agents. Clinical trials of drug–botanical interactions are the gold standard and are usually carried out only when indicated by unexpected consumer side effects or, preferably, by predictive preclinical studies. For example, phase 1 clinical trials have confirmed preclinical studies and clinical case reports that St. John’s wort (Hypericum perforatum) induces CYP3A4/CYP3A5. However, clinical studies of most botanicals that were predicted to interact with drugs have shown no clinically significant effects. For example, clinical trials did not substantiate preclinical predictions that milk thistle (Silybum marianum) would inhibit CYP1A2, CYP2C9, CYP2D6, CYP2E1, and/or CYP3A4. Here, we highlight discrepancies between preclinical and clinical data concerning drug–botanical interactions and critically evaluate why some preclinical models perform better than others in predicting the potential for drug–botanical interactions. Gaps in knowledge are also highlighted for the potential of some popular botanical dietary supplements to interact with therapeutic agents with respect to absorption, transport, and metabolism. PMID:26438626

  14. Cognitive enhancers (nootropics). Part 1: drugs interacting with receptors.

    PubMed

    Froestl, Wolfgang; Muhs, Andreas; Pfeifer, Andrea

    2012-01-01

    Cognitive enhancers (nootropics) are drugs to treat cognition deficits in patients suffering from Alzheimer's disease, schizophrenia, stroke, attention deficit hyperactivity disorder, or aging. Cognition refers to a capacity for information processing, applying knowledge, and changing preferences. It involves memory, attention, executive functions, perception, language, and psychomotor functions. The term nootropics was coined in 1972 when memory enhancing properties of piracetam were observed in clinical trials. In the meantime, hundreds of drugs have been evaluated in clinical trials or in preclinical experiments. To classify the compounds, a concept is proposed assigning drugs to 18 categories according to their mechanism(s) of action, in particular drugs interacting with receptors, enzymes, ion channels, nerve growth factors, re-uptake transporters, antioxidants, metal chelators, and disease-modifying drugs meaning small molecules, vaccines, and monoclonal antibodies interacting with amyloid-β and tau. For drugs, whose mechanism of action is not known, they are either classified according to structure, e.g., peptides, or their origin, e.g., natural products. The review covers the evolution of research in this field over the last 25 years.

  15. Cognitive enhancers (nootropics). Part 2: drugs interacting with enzymes.

    PubMed

    Froestl, Wolfgang; Muhs, Andreas; Pfeifer, Andrea

    2013-01-01

    Cognitive enhancers (nootropics) are drugs to treat cognition deficits in patients suffering from Alzheimer's disease, schizophrenia, stroke, attention deficit hyperactivity disorder, or aging. Cognition refers to a capacity for information processing, applying knowledge, and changing preferences. It involves memory, attention, executive functions, perception, language, and psychomotor functions. The term nootropics was coined in 1972 when memory enhancing properties of piracetam were observed in clinical trials. In the meantime, hundreds of drugs have been evaluated in clinical trials or in preclinical experiments. To classify the compounds, a concept is proposed assigning drugs to 19 categories according to their mechanism(s) of action, in particular drugs interacting with receptors, enzymes, ion channels, nerve growth factors, re-uptake transporters, antioxidants, metal chelators, and disease modifying drugs meaning small molecules, vaccines, and monoclonal antibodies interacting with amyloid-β and tau. For drugs whose mechanism of action is not known, they are either classified according to structure, e.g., peptides, or their origin, e.g., natural products. This review covers the evolution of research in this field over the last 25 years.

  16. Drug interactions with vortioxetine, a new multimodal antidepressant.

    PubMed

    Spina, Edoardo; Santoro, Vincenza

    2015-01-01

    This article summarized the available knowledge on clinically relevant drug interactions of vortioxetine, a new antidepressant with a “multimodal” serotonergic mechanism of action, recently approved for the treatment of major depressive disorder. Although information is still limited and mainly based on studies performed in healthy volunteers, vortioxetine appears to have a favorable drug interaction profile. Concerning the potential for pharmacokinetic drug interactions, vortioxetine has little to no effect on various cytochrome P450 (CYP) isoforms and therefore is not expected to markedly affect plasma concentrations of other medications metabolized by these enzymes. This is a major advantage when compared to other antidepressants which are known to inhibit the activity of one or more CYP isoforms. On the other hand, dosage adjustments may be required when vortioxetine is coadministered with strong CYP2D6 inhibitors or broad-spectrum CYP inducers. Vortioxetine carries a relatively low risk for pharmacodynamic drug interactions, at least as compared to first-generation antidepressants. Like other antidepressants enhancing serotonergic activity, vortioxetine is associated with a potential risk of serotonin syndrome when used in combination with other serotonergic agents. Based on all available clinical data, vortioxetine has no increased risk of serotonin syndrome when used without other serotoninergic agents and at therapeutic doses.

  17. Prevalence of the Prescription of Potentially Interacting Drugs

    PubMed Central

    Tragni, Elena; Casula, Manuela; Pieri, Vasco; Favato, Giampiero; Marcobelli, Alberico; Trotta, Maria Giovanna; Catapano, Alberico Luigi

    2013-01-01

    The use of multiple medications is becoming more common, with a correspondingly increased risk of untoward effects and drug-related morbidity and mortality. We aimed at estimating the prevalence of prescription of relevant potentially interacting drugs and at evaluating possible predictors of potentially interacting drug exposure. We retrospectively analyzed data on prescriptions dispensed from January 2004 to August 2005 to individuals of two Italian regions with a population of almost 2.1 million individuals. We identified 27 pairs of potentially interacting drugs by examining clinical relevance, documentation, and volume of use in Italy. Subjects who received at least one prescription of both drugs were selected. Co-prescribing denotes “two prescriptions in the same day”, and concomitant medication “the prescription of two drugs with overlapping coverage”. A logistic regression analysis was conducted to examine the predictors of potential Drug-Drug Interaction (pDDIs). 957,553 subjects (45.3% of study population) were exposed to at least one of the drugs/classes of the 27 pairs. Overall, pDDIs occurred 2,465,819 times. The highest rates of concomitant prescription and of co-prescription were for ACE inhibitors+NSAIDs (6,253 and 4,621/100,000 plan participants). Considering concomitance, the male/female ratio was <1 in 17/27 pairs (from 0.31 for NSAIDs-ASA+SSRI to 0.74 for omeprazole+clopidogrel). The mean age was lowest for methotrexate pairs (+omeprazole, 59.9 years; +NSAIDs-ASA, 59.1 years) and highest for digoxin+verapamil (75.4 years). In 13/27 pairs, the mean ages were ≥70 years. On average, subjects involved in pDDIs received ≥10 drugs. The odds of exposure were more frequently higher for age ≥65 years, males, and those taking a large number of drugs. A substantial number of clinically important pDDIs were observed, particularly among warfarin users. Awareness of the most prevalent pDDIs could help practitioners in preventing concomitant use

  18. [Clinical drug investigations. Definition of terms].

    PubMed

    Johne, A; Gerloff, T; Mai, I

    2005-04-01

    Implementation of the European Directive 2001/20/EC led to the inclusion of definitions for clinical trial and non-interventional trial in German Drug Law. Other terms, such as non-commercial clinical trial, single patient use, post marketing surveillance and public health study are less well defined. This article explains the various terms by comparing their differences and similarities.

  19. The Clinical Neurobiology of Drug Craving

    PubMed Central

    Sinha, Rajita

    2013-01-01

    Drug craving has re-emerged as a relevant and important construct in the pathophysiology of addiction with its inclusion in DSM-V as a key clinical symptom of addictive disorders. This renewed focus has been due in part to the recent neurobiological evidence on craving- related neural activation and clinical evidence supporting its association with drug use, relapse and recovery processes. This review covers the neurobiology of drug craving and relapse risk with a primary focus on cocaine addiction and a secondary emphasis on alcohol addiction. A conceptualization of drug craving on the continuum of healthy desire and compulsive seeking, and the associated neurobiological adaptations associated with the development of an increased craving/wanting state is presented. Altered dopamine neurochemistry as well as disrupted prefrontal control and hyperactive striatal-limbic responses in experiencing drug cues, stress, drug intake and in basal relaxed states are identified as neurobiological signatures that predict drug craving and drug use. Thus, the clinical and neurobiological features of the craving/wanting state are presented with specific attention to alterations in these cortico-limbic-striatal and prefrontal self-control circuits that predict drug craving and relapse risk. The methodological challenges that need to be addressed to further develop the evolving conceptual approach in the neuroscience of drug craving is presented, with a focus on identification and validation of biomarkers associated with the craving state and treatment approaches that may be of benefit in reversing the neurobiological adaptations associated with drug craving to improve treatment outcomes in addiction. PMID:23764204

  20. The clinical neurobiology of drug craving.

    PubMed

    Sinha, Rajita

    2013-08-01

    Drug craving has re-emerged as a relevant and important construct in the pathophysiology of addiction with its inclusion in DSM-V as a key clinical symptom of addictive disorders. This renewed focus has been due in part to the recent neurobiological evidence on craving-related neural activation and clinical evidence supporting its association with drug use, relapse, and recovery processes. This review covers the neurobiology of drug craving and relapse risk with a primary focus on cocaine addiction and a secondary emphasis on alcohol addiction. A conceptualization of drug craving on the continuum of healthy desire and compulsive seeking, and the associated neurobiological adaptations associated with the development of an increased craving/wanting state is presented. Altered dopamine neurochemistry as well as disrupted prefrontal control and hyperactive striatal-limbic responses in experiencing drug cues, stress, drug intake and in basal relaxed states are identified as neurobiological signatures that predict drug craving and drug use. Thus, the clinical and neurobiological features of the craving/wanting state are presented with specific attention to alterations in these cortico-limbic-striatal and prefrontal self-control circuits that predict drug craving and relapse risk. The methodological challenges that need to be addressed to further develop the evolving conceptual approach to the neuroscience of drug craving is presented, with a focus on identification and validation of biomarkers associated with the craving state and treatment approaches that may be of benefit in reversing the neurobiological adaptations associated with drug craving to improve treatment outcomes in addiction. Copyright © 2013 Elsevier Ltd. All rights reserved.

  1. Protein-protein interactions as drug targets.

    PubMed

    Skwarczynska, Malgorzata; Ottmann, Christian

    2015-01-01

    Modulation of protein-protein interactions (PPIs) is becoming increasingly important in drug discovery and chemical biology. While a few years ago this 'target class' was deemed to be largely undruggable an impressing number of publications and success stories now show that targeting PPIs with small, drug-like molecules indeed is a feasible approach. Here, we summarize the current state of small-molecule inhibition and stabilization of PPIs and review the active molecules from a structural and medicinal chemistry angle, especially focusing on the key examples of iNOS, LFA-1 and 14-3-3.

  2. Analysis of adverse drug reactions using drug and drug target interactions and graph-based methods.

    PubMed

    Lin, Shih-Fang; Xiao, Ke-Ting; Huang, Yu-Ting; Chiu, Chung-Cheng; Soo, Von-Wun

    2010-01-01

    The purpose of this study was to integrate knowledge about drugs, drug targets, and topological methods. The goals were to build a system facilitating the study of adverse drug events, to make it easier to find possible explanations, and to group similar drug-drug interaction cases in the adverse drug reaction reports from the US Food and Drug Administration (FDA). We developed a system that analyses adverse drug reaction (ADR) cases reported by the FDA. The system contains four modules. First, we integrate drug and drug target databases that provide information related to adverse drug reactions. Second, we classify drug and drug targets according to anatomical therapeutic chemical classification (ATC) and drug target ontology (DTO). Third, we build drug target networks based on drug and drug target databases. Finally, we apply topological analysis to reveal drug interaction complexity for each ADR case reported by the FDA. We picked 1952 ADR cases from the years 2005-2006. Our dataset consisted of 1952 cases, of which 1471 cases involved ADR targets, 845 cases involved absorption, distribution, metabolism, and excretion (ADME) targets, and 507 cases involved some drugs acting on the same targets, namely, common targets (CTs). We then investigated the cases involving ADR targets, ADME targets, and CTs using the ATC system and DTO. In the cases that led to death, the average number of common targets (NCTs) was 0.879 and the average of average clustering coefficient (ACC) was 0.067. In cases that did not lead to death, the average NCTs was 0.551, and the average of ACC was 0.039. We implemented a system that can find possible explanations and cluster similar ADR cases reported by the FDA. We found that the average of ACC and the average NCTs in cases leading to death are higher than in cases not leading to death, suggesting that the interactions in cases leading to death are generally more complicated than in cases not leading to death. This indicates that our system

  3. Drug related clinical pattern in fixed drug eruption.

    PubMed

    Ozkaya-Bayazit, E; Bayazit, H; Ozarmagan, G

    2000-06-01

    Fixed drug eruption (FDE) represents a frequent type of drug eruption in Turkey. The aim of this open study is to analyze the clinical features with special emphasize on drug related pattern in our case series. Sixty-four cases with established FDE by oral provocation were clinically evaluated. Cotrimoxazole, a combination of sulfamethoxazole and trimethoprim, was the most common offender for FDE (75%), followed by naproxen sodium (12.5%), dipyrone (9.5%), dimenhydrinate (1.5%) and paracetamol (1.5%). Sensitivity to more than one drug was not observed. Cotrimoxazole-induced FDE was mainly located on male genitalia. Naproxen predominantly affected lips and face whereas dipyrone mainly caused FDE on trunk and extremities. Statistical analysis revealed a significant difference only for dipyrone versus cotrimoxazole over trunk and extremities (p = 0.03). Familial occurrence, symmetrical and asymmetrical nonpigmenting FDE, linear FDE, solitary plaque on the cheek, and "wandering" FDE were unusual findings of cotrimoxazole-induced FDE. Cotrimoxazole was the leading etiological agent in our series. Cotrimoxazole-induced FDE had some rarely or previously unreported features, but a significant relation between drugs and involved areas or clinical pattern could not be established.

  4. Drug-specific clinical pattern in fixed drug eruptions.

    PubMed

    Thankappan, T P; Zachariah, J

    1991-12-01

    One hundred thirteen patients with fixed drug eruption (FDE) were studied for any drug-specific clinical pattern. The causative drugs were identified and confirmed by provocation tests. A trimethoprim-sulfamethoxazole combination caused maximum incidence (36.3%), followed by tetracycline (15.9%), pyrazolones (14.2%), sulfadiazine (12.4%), dipyrine (9.3%), acetaminophen (7.9%), aspirin (1.7%), thiacetazone (0.88%), and levamizole (0.88%). Sulfas, including trimethoprim-sulfamethoxazole, induced lesions on the lips (91%) and trunk and limbs (89%), with only minimal involvement of mucosae. Tetracycline caused lesions only on the glans penis, sparing other sites. Pyrazolones affected mainly the lips and mucosae, with a few lesions of the trunk and limbs. Dipyrine, aspirin, and acetaminophen caused lesions of the trunk and limbs, sparing the lips, genitalia, and mucosae. Levamizole caused associated constitutional disturbances with extensive skin lesions, as did thiacetazone. The current study indicates that the clinical pattern and distribution of lesions in FDE are influenced by the drug in question, and the study of the pattern may provide useful information in selecting the most likely causative drug, especially when the details of the drugs are unknown.

  5. MDR- and CYP3A4-mediated drug-drug interactions.

    PubMed

    Pal, Dhananjay; Mitra, Ashim K

    2006-09-01

    P-glycoprotein (P-gp), multiple drug resistance associated proteins (MRPs), and cytochrome P450 3A4 together constitute a highly efficient barrier for many orally absorbed drugs. Multidrug regimens and corresponding drug-drug interactions are known to cause many adverse drug reactions and treatment failures. Available literature, clinical reports, and in vitro studies from our laboratory indicate that many drugs are substrates for both P-gp and CYP3A4. Our primary hypothesis is that transport and metabolism of protease inhibitors (PIs) and NNRTIs will be altered when administered in combination with azole antifungals, macrolide, fluroquinolone antibiotics, statins, cardiovascular agents, immune modulators, and recreational drugs [benzodiazepines, cocaine, lysergic acid dithylamide (LSD), marijuana, amphetamine (Meth), 3,4-methylenedioxymethamphetamine (MDMA), and opiates] due to efflux, and/or metabolism at cellular targets. Therefore, such drug combinations could be a reason for the unexpected and unexplainable therapeutic outcomes. A number of clinical reports on drug interaction between PIs and other classes (macrolide antibiotics, azole antifungals, cholesterol lowering statins, cardiovascular medicines, and immunomodulators) are discussed in this article. MDCKII-MDR1 was employed as an in vitro model to evaluate the effects of antiretrovirals, azole antifungals, macrolide, and fluroquinolone antibiotics on efflux transporters. Ketoconazole (50 muM) enhanced the intracellular concentration of (3)H ritonavir. The inhibitory effects of ketoconazole and MK 571 on the efflux of (3)H ritonavir were comparable. An additive effect was observed with simultaneous incorporation of ketoconazole and MK 571. Results of (3)H ritonavir uptake studies were confirmed with transcellular transport studies. Several fluroquinolones were also evaluated on P-gp-mediated efflux of (3)H cyclosporin and 14C erythromycin. These in vitro studies indicate that grepafloxacin, levofloxacin

  6. A Successful Model and Visual Design for Creating Context-Aware Drug-Drug Interaction Alerts

    PubMed Central

    Duke, Jon D.; Bolchini, Davide

    2011-01-01

    Evaluating the potential harm of a drug-drug interaction (DDI) requires knowledge of a patient’s relevant co-morbidities and risk factors. Current DDI alerts lack such patient-specific contextual data. In this paper, we present an efficient model for integrating pertinent patient data into DDI alerts. This framework is designed to be interoperable across multiple drug knowledge bases and clinical information systems. To evaluate the model, we generated a set of contextual DDI data using our local drug knowledge base then conducted an evaluation study of a prototype contextual alert design. The alert received favorable ratings from study subjects, who agreed it was an improvement over traditional alerts and was likely to support clinical management and save physician time. This framework may ultimately help reduce alert fatigue through the dynamic display of DDI alerts based on patient risk. PMID:22195086

  7. Provider-Client Interaction in Methadone Treatment Clinics in China.

    PubMed

    Li, Li; Wu, Zunyou; Cao, Xiaobin; Zhang, Linglin

    2012-04-01

    This study examines provider-client interactions in the context of methadone maintenance treatment (MMT) in China. Service providers were recruited from six methadone clinics. A total of 41 providers were enrolled in the study and participated in an assessment from February to March 2010. Descriptive and multiple regression analyses were performed. Providers with a higher level of negative attitude toward drug users were less likely than others to interact with clients. Female providers were less likely to have negative attitudes toward drug users as compared with their male counterparts. Doctors were more likely than others to have negative attitudes toward drug users. Knowledge of MMT was not related to either negative attitude toward drug users or to provider-client interaction. The findings indicate an urgent need to address the issue of provider attitudes, which can impact interactions with clients and influence efforts to maintain treatment retention and outcomes for drug users.

  8. A current review of cytochrome P450 interactions of psychotropic drugs.

    PubMed

    Madhusoodanan, Subramoniam; Velama, Umamaheswararao; Parmar, Jeniel; Goia, Diana; Brenner, Ronald

    2014-05-01

    The number of psychotropic drugs has expanded tremendously over the past few decades with a proportional increase in drug-drug interactions. The majority of psychotropic agents are biotransformed by hepatic enzymes, which can lead to significant drug-drug interactions. Most drug-drug interactions of psychotropics occur at metabolic level involving the hepatic cytochrome P450 enzyme system. We searched the National Library of Medicine, PsycINFO, and Cochrane reviews from 1981 to 2012 for original studies including clinical trials, double-blind, placebo-controlled studies, and randomized controlled trials. In addition, case reports, books, review articles, and hand-selected journals were utilized to supplement this review. Based on the clinical intensity of outcome, cytochrome interactions can be classified as severe, moderate, and mild. Severe interactions include effects that might be acutely life threatening. They are mainly inhibitory interactions with cardiovascular drugs. Moderate interactions include efficacy issues. Mild interactions include nonserious side effects, such as somnolence. Psychotropic drugs may interact with other prescribed medications used to treat concomitant medical illnesses. A thorough understanding of the most prescribed medications and patient education will help reduce the likelihood of potentially fatal drug-drug interactions.

  9. Drug-Drug Interactions with the NS3/4A Protease Inhibitor Simeprevir.

    PubMed

    Ouwerkerk-Mahadevan, Sivi; Snoeys, Jan; Peeters, Monika; Beumont-Mauviel, Maria; Simion, Alexandru

    2016-02-01

    Simeprevir is an NS3/4A protease inhibitor approved for the treatment of hepatitis C infection, as a component of combination therapy. Simeprevir is metabolized by the cytochrome P450 (CYP) system, primarily CYP3A, and is a substrate for several drug transporters, including the organic anion transporting polypeptides (OATPs). It is susceptible to metabolic drug-drug interactions with drugs that are moderate or strong CYP3A inhibitors (e.g. ritonavir and erythromycin) or CYP3A inducers (e.g. rifampin and efavirenz); coadministration of these drugs may increase or decrease plasma concentrations of simeprevir, respectively, and should be avoided. Clinical studies have shown that simeprevir is a mild inhibitor of CYP1A2 and intestinal CYP3A but does not inhibit hepatic CYP3A. The effects of simeprevir on these enzymes are of clinical relevance only for narrow-therapeutic-index drugs that are metabolized solely by these enzymes (e.g. oral midazolam). Simeprevir does not have a clinically relevant effect on the pharmacokinetics of rilpivirine, tacrolimus, oral contraceptives and several other drugs metabolized by CYP enzymes. Simeprevir is a substrate and inhibitor of the transporters P-glycoprotein (P-gp), breast cancer resistance protein (BCRP) and OATP1B1/3. Cyclosporine is an inhibitor of OATP1B1/3, BCRP and P-gp, and a mild inhibitor of CYP3A; cyclosporine causes a significant increase in simeprevir plasma concentrations, and coadministration is not recommended. Clinical studies have demonstrated increases in coadministered drug concentrations for drugs that are substrates of the OATP1B1/3, BRCP (e.g. rosuvastatin) and P-gp (e.g. digoxin) transporters; these drugs should be administered with dose titration and or/close monitoring.

  10. [Undesirable pharmacokinetic drug-to-drug interactions affecting the effectiveness and safety of anti-infectious pharmacotherapy].

    PubMed

    Dworacka, Marzena; Nowocień, Tamara

    2017-02-20

    The occurence of pharmacokinetic drug-to-drug interactions is the serious clinical problem in the course of pharmacotherapy of infections. Its essential part is the influence of such interactions on the effectiveness and safety of antimicrobial therapy. The aim of study was to present, the most significant on clinical hand, examples of interactions and their mechanisms between antimicrobial agents and other drugs on stages of absorption, distribution, biotransformation and elimination, leading to the decreased antimicrobial activity and ineffective pharmacotherapy or to the increased antimicrobial activity and to the increased risk of adverse effects due to agents used for anti-infectious pharmacotherapy.

  11. Herbal medication: potential for adverse interactions with analgesic drugs.

    PubMed

    Abebe, W

    2002-12-01

    The use of herbal supplements in the US has increased dramatically in recent years. These products are not regulated by the Food and Drug Administration (FDA) with the same scrutiny as conventional drugs. Patients who use herbal supplements often do so in conjunction with conventional drugs. This article is a review of potential adverse interactions between some of the commonly used herbal supplements and analgesic drugs. Non-steroidal anti-inflammatory drugs (NSAIDs), particularly aspirin, have the potential to interact with herbal supplements that are known to possess antiplatelet activity (ginkgo, garlic, ginger, bilberry, dong quai, feverfew, ginseng, turmeric, meadowsweet and willow), with those containing coumarin (chamomile, motherworth, horse chestnut, fenugreek and red clover) and with tamarind, enhancing the risk of bleeding. Acetaminophen may also interact with ginkgo and possibly with at least some of the above herbs to increase the risk of bleeding. Further, the incidences of hepatotoxicity and nephrotoxicity may be augmented by acetaminophen when concomitantly used with the potentially hepatotoxic herbs Echinacea and kava, and with herbs containing salicylate (willow, meadowsweet), respectively. The concomitant use of opioid analgesics with the sedative herbal supplements, valerian, kava and chamomile, may lead to increased central nervous system (CNS) depression. The analgesic effect of opioids may also be inhibited by ginseng. It is suggested that health-care professionals should be more aware of the potential adverse interactions between herbal supplements and analgesic drugs, and take appropriate precautionary measures to avoid their possible occurrences. However, as most of the interaction information available is based on individual case reports, animal studies and in vitro data, further research is needed to confirm and assess the clinical significance of these potential interactions.

  12. Drug interactions between hormonal contraceptives and psychotropic drugs: a systematic review.

    PubMed

    Berry-Bibee, Erin N; Kim, Myong-Jin; Simmons, Katharine B; Tepper, Naomi K; Riley, Halley E M; Pagano, H Pamela; Curtis, Kathryn M

    2016-12-01

    To examine whether the co-administration of hormonal contraceptives (HC) and psychotropic drugs commonly used to treat anxiety and/or depression results in safety or efficacy concerns for either drug. We searched PubMed and Cochrane libraries for clinical or pharmacokinetic (PK) studies that examined co-administration of any HC with psychotropic drugs [selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), tricyclic antidepressants (TCAs), oral benzodiazepines, bupropion, mirtazapine, trazadone, buspirone, hydroxyzine, monoamine oxidase inhibitors (MAOIs), or atypical antipsychotics] in reproductive aged women. Of 555 articles identified, 22 articles (18 studies) met inclusion criteria. We identified 5 studies on SSRIs, four on TCAs, one on bupropion, three on atypical antipsychotics and five on oral benzodiazepines. No articles met inclusion criteria for SNRIs, mirtazapine, trazadone, buspirone, hydroxyzine or MAOIs. Overall, clinical studies did not demonstrate differences in unintended pregnancy rates when HCs were administered with and without psychotropic drugs or in psychotropic drug treatment outcomes when psychotropic drugs were administered with and without HCs. PK studies did not demonstrate changes in drug exposure related to contraceptive safety, contraceptive effectiveness or psychotropic drug effectiveness for most classes of psychotropic drugs. However, limited PK data raise concern for HCs increasing systemic exposure of amitriptyline and imipramine (both TCAs), theoretically posing safety concerns. Limited quality and quantity evidence on use of psychotropic drugs and HCs suggests low concern for clinically significant interactions, though no data exist specifically for non-oral formulations of HC. Given the high frequency of use for both HCs and psychotropic drugs among reproductive-age women in the US, this review highlights a need for further research in this area. Copyright © 2016 Elsevier Inc

  13. Multiscale Modeling in the Clinic: Drug Design and Development.

    PubMed

    Clancy, Colleen E; An, Gary; Cannon, William R; Liu, Yaling; May, Elebeoba E; Ortoleva, Peter; Popel, Aleksander S; Sluka, James P; Su, Jing; Vicini, Paolo; Zhou, Xiaobo; Eckmann, David M

    2016-09-01

    A wide range of length and time scales are relevant to pharmacology, especially in drug development, drug design and drug delivery. Therefore, multiscale computational modeling and simulation methods and paradigms that advance the linkage of phenomena occurring at these multiple scales have become increasingly important. Multiscale approaches present in silico opportunities to advance laboratory research to bedside clinical applications in pharmaceuticals research. This is achievable through the capability of modeling to reveal phenomena occurring across multiple spatial and temporal scales, which are not otherwise readily accessible to experimentation. The resultant models, when validated, are capable of making testable predictions to guide drug design and delivery. In this review we describe the goals, methods, and opportunities of multiscale modeling in drug design and development. We demonstrate the impact of multiple scales of modeling in this field. We indicate the common mathematical and computational techniques employed for multiscale modeling approaches used in pharmacometric and systems pharmacology models in drug development and present several examples illustrating the current state-of-the-art models for (1) excitable systems and applications in cardiac disease; (2) stem cell driven complex biosystems; (3) nanoparticle delivery, with applications to angiogenesis and cancer therapy; (4) host-pathogen interactions and their use in metabolic disorders, inflammation and sepsis; and (5) computer-aided design of nanomedical systems. We conclude with a focus on barriers to successful clinical translation of drug development, drug design and drug delivery multiscale models.

  14. Multiscale Modeling in the Clinic: Drug Design and Development

    PubMed Central

    An, Gary; Cannon, William R; Liu, Yaling; May, Elebeoba E.; Ortoleva, Peter; Popel, Aleksander S.; Sluka, James P.; Su, Jing; Vicini, Paolo; Zhou, Xiaobo

    2016-01-01

    A wide range of length and time scales are relevant to pharmacology, especially in drug development, drug design and drug delivery. Therefore, multiscale computational modeling and simulation methods and paradigms that advance the linkage of phenomena occurring at these multiple scales have become increasingly important. Multiscale approaches present in silico opportunities to advance laboratory research to bedside clinical applications in pharmaceuticals research. This is achievable through the capability of modeling to reveal phenomena occurring across multiple spatial and temporal scales, which are not otherwise readily accessible to experimentation. The resultant models, when validated, are capable of making testable predictions to guide drug design and delivery. In this review we describe the goals, methods, and opportunities of multiscale modeling in drug design and development. We demonstrate the impact of multiple scales of modeling in this field. We indicate the common mathematical and computational techniques employed for multiscale modeling approaches used in pharmacometric and systems pharmacology models in drug development and present several examples illustrating the current state-of-the-art models for (i) excitable systems and applications in cardiac disease; (ii) stem cell driven complex biosystems; (iii) nanoparticle delivery, with applications to angiogenesis and cancer therapy; (iv) host-pathogen interactions and their use in metabolic disorders, inflammation and sepsis; and (v) computer-aided design of nanomedical systems. We conclude with a focus on barriers to successful clinical translation of drug development, drug design and drug delivery multiscale models. PMID:26885640

  15. Prolonged Drug-Drug Interaction between Terbinafine and Perphenazine.

    PubMed

    Park, Young-Min

    2012-12-01

    I report here an elderly woman receiving perphenazine together with terbinafine. After 1 week of terbinafine treatment she experienced extrapyramidal symptoms and, in particular, akathisia. Her symptoms did not disappear for 6 weeks, and so at 2 weeks prior to this most recent admission she had stopped taking terbinafine. However, these symptoms persisted for 3 weeks after discontinuing terbinafine. It is well known that terbinafine inhibits CYP2D6 and that perphenazine is metabolized mainly by CYP2D6. Thus, when terbinafine and perphenazine are coadministrated, the subsequent increase in the concentration of perphenazine may induce extrapyramidal symptoms. Thus, terbinafine therapy may be associated with the induction and persistence of extrapyramidal symptoms, including akathisia. This case report emphasizes the importance of monitoring drug-drug interactions in patients undergoing terbinafine and perphenazine therapy.

  16. Drug-Drug Interaction Extraction via Convolutional Neural Networks.

    PubMed

    Liu, Shengyu; Tang, Buzhou; Chen, Qingcai; Wang, Xiaolong

    2016-01-01

    Drug-drug interaction (DDI) extraction as a typical relation extraction task in natural language processing (NLP) has always attracted great attention. Most state-of-the-art DDI extraction systems are based on support vector machines (SVM) with a large number of manually defined features. Recently, convolutional neural networks (CNN), a robust machine learning method which almost does not need manually defined features, has exhibited great potential for many NLP tasks. It is worth employing CNN for DDI extraction, which has never been investigated. We proposed a CNN-based method for DDI extraction. Experiments conducted on the 2013 DDIExtraction challenge corpus demonstrate that CNN is a good choice for DDI extraction. The CNN-based DDI extraction method achieves an F-score of 69.75%, which outperforms the existing best performing method by 2.75%.

  17. Drug-Drug Interaction Extraction via Convolutional Neural Networks

    PubMed Central

    Liu, Shengyu; Tang, Buzhou; Chen, Qingcai; Wang, Xiaolong

    2016-01-01

    Drug-drug interaction (DDI) extraction as a typical relation extraction task in natural language processing (NLP) has always attracted great attention. Most state-of-the-art DDI extraction systems are based on support vector machines (SVM) with a large number of manually defined features. Recently, convolutional neural networks (CNN), a robust machine learning method which almost does not need manually defined features, has exhibited great potential for many NLP tasks. It is worth employing CNN for DDI extraction, which has never been investigated. We proposed a CNN-based method for DDI extraction. Experiments conducted on the 2013 DDIExtraction challenge corpus demonstrate that CNN is a good choice for DDI extraction. The CNN-based DDI extraction method achieves an F-score of 69.75%, which outperforms the existing best performing method by 2.75%. PMID:26941831

  18. Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling.

    PubMed

    Vilar, Santiago; Lorberbaum, Tal; Hripcsak, George; Tatonetti, Nicholas P

    2015-01-01

    Identification of Drug-Drug Interactions (DDIs) is a significant challenge during drug development and clinical practice. DDIs are responsible for many adverse drug effects (ADEs), decreasing patient quality of life and causing higher care expenses. DDIs are not systematically evaluated in pre-clinical or clinical trials and so the FDA U. S. Food and Drug Administration relies on post-marketing surveillance to monitor patient safety. However, existing pharmacovigilance algorithms show poor performance for detecting DDIs exhibiting prohibitively high false positive rates. Alternatively, methods based on chemical structure and pharmacological similarity have shown promise in adverse drug event detection. We hypothesize that the use of chemical biology data in a post hoc analysis of pharmacovigilance results will significantly improve the detection of dangerous interactions. Our model integrates a reference standard of DDIs known to cause arrhythmias with drug similarity data. To compare similarity between drugs we used chemical structure (both 2D and 3D molecular structure), adverse drug side effects, chemogenomic targets, drug indication classes, and known drug-drug interactions. We evaluated the method on external reference standards. Our results showed an enhancement of sensitivity, specificity and precision in different top positions with the use of similarity measures to rank the candidates extracted from pharmacovigilance data. For the top 100 DDI candidates, similarity-based modeling yielded close to twofold precision enhancement compared to the proportional reporting ratio (PRR). Moreover, the method helps in the DDI decision making through the identification of the DDI in the reference standard that generated the candidate.

  19. Evaluation of drug interactions with nanofibrillar cellulose.

    PubMed

    Kolakovic, Ruzica; Peltonen, Leena; Laukkanen, Antti; Hellman, Maarit; Laaksonen, Päivi; Linder, Markus B; Hirvonen, Jouni; Laaksonen, Timo

    2013-11-01

    Nanofibrillar cellulose (NFC) (also referred to as cellulose nanofibers, nanocellulose, microfibrillated, or nanofibrillated cellulose) has recently gotten wide attention in various research areas and it has also been studied as excipient in formulation of the pharmaceutical dosage forms. Here, we have evaluated the interactions between NFC and the model drugs of different structural characteristics (size, charge, etc.). The series of permeation studies were utilized to evaluate the ability of the drugs in solution to diffuse through the thin, porous, dry NFC films. An incubation method was used to determine capacity of binding of chosen model drugs to NFC as well as isothermal titration calorimetry (ITC) to study thermodynamics of the binding process. A genetically engineered fusion protein carrying double cellulose binding domain was used as a positive control since its affinity and capacity of binding for NFC have already been reported. The permeation studies revealed the size dependent diffusion rate of the model drugs through the NFC films. The results of both binding and ITC studies showed that the studied drugs bind to the NFC material and indicated the pH dependence of the binding and electrostatic forces as the main mechanism. Copyright © 2013 Elsevier B.V. All rights reserved.

  20. Prescribing clozapine and rifampicin: clinical impact of their interaction

    PubMed Central

    Parker, Caroline

    2016-01-01

    The predictable pharmacokinetic drug interaction between clozapine and rifampicin is listed in most standard reference texts but little detail is given or emphasis on its clinical significance. The interaction is based on theoretical knowledge of both drugs; to date just two case reports have been published. This article describes a third case demonstrating the significance of this interaction. This was potentially devastating for the patient who required an extended psychiatric admission. The enzyme induction was so potent that the dose of clozapine had to be increased approximately sixfold. Careful management of this significant interaction is essential for effective patient care. PMID:27280037

  1. Management of drug and food interactions with azole antifungal agents in transplant recipients.

    PubMed

    Dodds-Ashley, Elizabeth

    2010-08-01

    Azole antifungal agents are frequently used in hematopoietic stem cell and solid organ transplant recipients for prevention or treatment of invasive fungal infections. However, because of metabolism by or substrate activity for various isoenzymes of the cytochrome P450 system and/or P-glycoprotein, azole antifungals have the potential to interact with many of the drugs commonly used in these patient populations. Thus, to identify drug interactions that may result between azole antifungals and other drugs, we conducted a literature search of the MEDLINE database (1966-December 2009) for English-language articles on drug interaction studies involving the azole antifungal agents fluconazole, itraconazole, voriconazole, and posaconazole. Another literature search between each of the azoles and the immunosuppressants cyclosporine, tacrolimus, and sirolimus, as well as the corticosteroids methylprednisolone, dexamethasone, prednisolone, and prednisone, was also conducted. Concomitant administration of azoles and immunosuppressive agents may cause clinically significant drug interactions resulting in extreme immunosuppression or toxicity. The magnitude and duration of an interaction between azoles and immunosuppressants are not class effects of the azoles, but differ between drug combinations and are subject to interpatient variability. Drug interactions in the transplant recipient receiving azole therapy may also occur with antibiotics, chemotherapeutic agents, and acid-suppressive therapies, among other drugs. Initiation of an azole antifungal in transplant recipients nearly ensures a drug-drug interaction, but often these drugs are required. Management of these interactions first involves knowledge of the potential drug interaction, appropriate dosage adjustments when necessary, and therapeutic or clinical monitoring at an appropriate point in therapy to assess the drug-drug interaction (e.g., immunosuppressive drug concentrations, signs and symptoms of toxicity

  2. Drug-drug interactions between anti-retroviral therapies and drugs of abuse in HIV systems.

    PubMed

    Kumar, Santosh; Rao, P S S; Earla, Ravindra; Kumar, Anil

    2015-03-01

    Substance abuse is a common problem among HIV-infected individuals. Importantly, addictions as well as moderate use of alcohol, smoking, or other illicit drugs have been identified as major reasons for non-adherence to antiretroviral therapy (ART) among HIV patients. The literature also suggests a decrease in the response to ART among HIV patients who use these substances, leading to failure to achieve optimal virological response and increased disease progression. This review discusses the challenges with adherence to ART as well as observed drug interactions and known toxicities with major drugs of abuse, such as alcohol, smoking, methamphetamine, cocaine, marijuana, and opioids. The lack of adherence and drug interactions potentially lead to decreased efficacy of ART drugs and increased ART, and drugs of abuse-mediated toxicity. As CYP is the common pathway in metabolizing both ART and drugs of abuse, we discuss the possible involvement of CYP pathways in such drug interactions. We acknowledge that further studies focusing on common metabolic pathways involving CYP and advance research in this area would help to potentially develop novel/alternate interventions and drug dose/regimen adjustments to improve medication outcomes in HIV patients who consume drugs of abuse.

  3. Addressing drug-drug and drug-food interactions through personalized empowerment services for healthcare.

    PubMed

    Spanakis, Marios; Spanakis, Emmanouil G; Kondylakis, Haridimos; Sfakianakis, Stelios; Genitsaridi, Irini; Sakkalis, Vangelis; Tsiknakis, Manolis; Marias, Kostas

    2016-08-01

    Personalized healthcare systems support the provision of timely and appropriate information regarding healthcare options and treatment alternatives. Especially for patients that receive multi-drug treatments a key issue is the minimization of the risk of adverse effects due to drug-drug interactions (DDIs). DDIs may be the result of doctor prescribed drugs but also due to self-medication of conventional drugs, alternative medicines, food habits, alcohol or smoking. It is therefore crucial for personalized health systems, apart from assisting physicians for optimal prescription practices, to also provide appropriate information for individual users for drug-drug interactions or similar information regarding risks for modulation of the ensuing treatment. In this manuscript we describe a DDI service including drug-food, drug-herb and other lifestyle-related factors, developed in the context of a personalized patient empowerment platform. The solution enables guidance to patients for their medication on how to reduce the risk of unwanted drug interactions and side effects in a seamless and transparent way. We present and analyze the implemented services and provide examples on using an alerting service to identify potential DDIs in two different chronic diseases, congestive heart failure and osteoarthritis.

  4. Nanocrystal technology, drug delivery and clinical applications

    PubMed Central

    Junghanns, Jens-Uwe A H; Müller, Rainer H

    2008-01-01

    Nanotechnology will affect our lives tremendously over the next decade in very different fields, including medicine and pharmacy. Transfer of materials into the nanodimension changes their physical properties which were used in pharmaceutics to develop a new innovative formulation principle for poorly soluble drugs: the drug nanocrystals. The drug nanocrystals do not belong to the future; the first products are already on the market. The industrially relevant production technologies, pearl milling and high pressure homogenization, are reviewed. The physics behind the drug nanocrystals and changes of their physical properties are discussed. The marketed products are presented and the special physical effects of nanocrystals explained which are utilized in each market product. Examples of products in the development pipelines (clinical phases) are presented and the benefits for in vivo administration of drug nanocrystals are summarized in an overview. PMID:18990939

  5. Pharmacokinetic drug interactions in liver disease: An update

    PubMed Central

    Palatini, Pietro; De Martin, Sara

    2016-01-01

    Inhibition and induction of drug-metabolizing enzymes are the most frequent and dangerous drug-drug interactions. They are an important cause of serious adverse events that have often resulted in early termination of drug development or withdrawal of drugs from the market. Management of such interactions by dose adjustment in clinical practice is extremely difficult because of the wide interindividual variability in their magnitude. This review examines the genetic, physiological, and environmental factors responsible for this variability, focusing on an important but so far neglected cause of variability, liver functional status. Clinical studies have shown that liver disease causes a reduction in the magnitude of interactions due to enzyme inhibition, which is proportional to the degree of liver function impairment. The effect of liver dysfunction varies quantitatively according to the nature, reversible or irreversible, of the inhibitory interaction. The magnitude of reversible inhibition is more drastically reduced and virtually vanishes in patients with advanced hepatocellular insufficiency. Two mechanisms, in order of importance, are responsible for this reduction: decreased hepatic uptake of the inhibitory drug and reduced enzyme expression. The extent of irreversible inhibitory interactions is only partially reduced, as it is only influenced by the decreased expression of the inhibited enzyme. Thus, for appropriate clinical management of inhibitory drug interactions, both the liver functional status and the mechanism of inhibition must be taken into consideration. Although the inducibility of drug-metabolizing enzymes in liver disease has long been studied, very conflicting results have been obtained, mainly because of methodological differences. Taken together, the results of early animal and human studies indicated that enzyme induction is substantially preserved in compensated liver cirrhosis, whereas no definitive conclusion as to whether it is

  6. A pilot study on the impact of known drug-drug interactions in cancer patients.

    PubMed

    Ussai, Silvia; Petelin, Riccardo; Giordano, Antonio; Malinconico, Mario; Cirillo, Donatella; Pentimalli, Francesca

    2015-08-25

    When a patient concomitantly uses two or more drugs, a drug-drug interaction (DDI) can possibly occur, potentially leading to an increased or decreased clinical effect of a given treatment. Cancer patients are at high risk of such interactions because they commonly receive multiple medications. Moreover, most cancer patients are elderly and require additional medications for comorbidities. Aim of this preliminary observational study was to evaluate the incidence of well known and established DDIs in a cohort of cancer outpatients undergoing multiple treatments. Anamnestic and clinical data were collected for 64 adult patients in the ambulatory setting with malignant solid tumors who were receiving systemic anticancer treatment. Patients also declared all drugs prescribed by other specialists or self-taken in the previous 2 weeks. DDIs were divided into two different groups: 'neoplastic DDIs' (NDDIs), involving antitumoral drugs, and 'not neoplastic DDIs' (nDDIs), involving all other classes of drugs. The severity of DDIs was classified as major, moderate and minor, according to the 'Institute for Pharmacological Research Mario Negri' definition. About 34 % of cancer outpatients within our cohort were prescribed/assumed interacting drug combinations. The most frequent major NDDIs involved the anticoagulant warfarin (33 % of total NDDIs) that, in association with tamoxifen, or capecitabine and paclitaxel, increased the risk of haemorrhage. About 60 % of nDDIs involved acetylsalicylic acid. Overall, 16 % of DDIs were related to an A-level strength of recommendation to be avoided. The lack of effective communication among specialists and patients might have a role in determining therapeutic errors. Our pilot study, although limited by a small cohort size, highlights the urgent need of implementing the clinical management of cancer outpatients with new strategies to prevent or minimize potential harmful DDIs.

  7. [Identifying potential drug interactions in chronic kidney disease patients].

    PubMed

    Marquito, Alessandra Batista; Fernandes, Natália Maria da Silva; Colugnati, Fernando Antonio Basile; de Paula, Rogério Baumgratz

    2014-01-01

    Drug interactions (DIs) are common in clinical practice and are directly related to factors such as polypharmacy, aging, hepatic metabolism and decreased renal function. Individuals with chronic kidney disease (CKD) often require multiple classes of drugs being at important risk for the development of DIs. Identify potential interactions among drugs prescribed to patients with CKD on conservative treatment, and factors associated with their occurrence. Observational cross-sectional study, with analysis of 558 prescriptions. Potential DIs were identified by the database MICROMEDEX®, software that provides an internationally known pharmacopoeia. There was a predominance of males (54.7%), seniors (69.4%), stage 3 CKD (47.5%), overweight and obese patients (66.7%). The most prevalent comorbidities were hypertension (68.5%) and diabetes mellitus (31.9%). Potential DIs were detected in 74.9% of prescriptions. Among the 1364 DIs diagnosed, 5 (0.4%) were contraindicated and 229 (16.8%) of greater severity, which need immediate intervention. Interactions of moderate and low severity were identified in 1049 (76.9%) and 81 (5.9%) prescriptions, respectively. The probability of one DI increased by 2.5 times for each additional drug (CI = 2.18 to 3.03). Obesity, hypertension, diabetes as well as advanced stage of CKD were risk factors strongly associated with DI occurrence. Drug associations in individuals with CKD were related to high prevalence of serious DIs, especially in the later stages of the disease.

  8. Busulfan and metronidazole: an often forgotten but significant drug interaction.

    PubMed

    Gulbis, Alison M; Culotta, Kirk S; Jones, Roy B; Andersson, Borje S

    2011-07-01

    To report the case of a clinically significant drug interaction between intravenous busulfan and oral metronidazole observed through busulfan therapeutic drug monitoring (TDM). A 7-year-old boy with a history of myelodysplasia that progressed to acute myeloid leukemia received busulfan with therapeutic drug monitoring (TDM), clofarabine, and thiotepa as a pretransplant conditioning regimen for a cord blood transplant. The patient received metronidazole the day after a busulfan test dose of 0.5 mg/kg was administered. On the day of the first busulfan therapeutic dose, TDM was performed and the clearance of busulfan was significantly decreased by 46%. After 2 doses of busulfan therapy, the course area under the curve was exceeded, requiring discontinuation of busulfan. Metronidazole is not known to affect glutathione or the glutathione S-transferase A1 (GSTA1) enzyme system or cytochrome P450 (CYP) 3A4. Busulfan is a bifunctional alkylating agent widely used in pretransplant conditioning regimens in patients undergoing stem cell transplantation for hematologic malignancies. Busulfan metabolism is best described by hepatic conjugation to glutathione by GSTA1, although some CYP-dependent pathways have been described. Currently there is 1 publication describing the drug interaction between oral busulfan and oral metronidazole, in which concomitant use of metronidazole resulted in higher busulfan trough concentrations and higher risk of veno-occlusive disease. Our case represents a possible drug interaction based on the Horn Drug Interaction Probability Scale. Though the mechanistic basis for this interaction is unknown, the risks and benefits of using metronidazole during and in close proximity to busulfan should be carefully considered and therapeutic alternatives to metronidazole should be used when appropriate.

  9. Predicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction Networks

    PubMed Central

    Park, Kyunghyun; Kim, Docyong; Ha, Suhyun; Lee, Doheon

    2015-01-01

    As pharmacodynamic drug-drug interactions (PD DDIs) could lead to severe adverse effects in patients, it is important to identify potential PD DDIs in drug development. The signaling starting from drug targets is propagated through protein-protein interaction (PPI) networks. PD DDIs could occur by close interference on the same targets or within the same pathways as well as distant interference through cross-talking pathways. However, most of the previous approaches have considered only close interference by measuring distances between drug targets or comparing target neighbors. We have applied a random walk with restart algorithm to simulate signaling propagation from drug targets in order to capture the possibility of their distant interference. Cross validation with DrugBank and Kyoto Encyclopedia of Genes and Genomes DRUG shows that the proposed method outperforms the previous methods significantly. We also provide a web service with which PD DDIs for drug pairs can be analyzed at http://biosoft.kaist.ac.kr/targetrw. PMID:26469276

  10. Drug interactions in dermatology: what the dermatologist should know.

    PubMed

    Coondoo, Arijit; Chattopadhyay, Chandan

    2013-07-01

    A drug interaction is a process by which a drug or any other substance interacts with another drug and affects its activity by increasing or decreasing its effect, causing a side effect or producing a new effect unrelated to the effect of either. Interactions may be of various types-drug-drug interactions, drug-food interactions, drug-medical condition interactions, or drug-herb interactions. Interactions may occur by single or multiple mechanisms. They may occur in vivo or in vitro (pharmaceutical reactions). In vivo interactions may be further subdivided into pharmacodynamic or pharmacokinetic reactions. Topical drug interactions which may be agonistic or antagonistic may occur between two drugs applied topically or between a topical and a systemic drug. Topical drug-food interaction (for example, grape fruit juice and cyclosporine) and drug-disease interactions (for example, topical corticosteroid and aloe vera) may also occur. It is important for the dermatologist to be aware of such interactions to avoid complications of therapy in day-to-day practice.

  11. Choice of Initial Antiepileptic Drug for Older Veterans: Possible Pharmacokinetic Drug Interactions With Existing Medications

    PubMed Central

    Pugh, Mary Jo V.; VanCott, Anne C.; Steinman, Michael A.; Mortensen, Eric M.; Amuan, Megan E.; Wang, Chen-Pin; Knoefel, Janice E.; Berlowitz, Dan R.

    2014-01-01

    Objectives Identify clinically-meaningful potential drug-drug interactions with antiepileptic drugs (AED-PDI), the AEDs and co-administered drugs commonly associated with AED-PDI, and characteristics of patients with increased likelihood of AED-PDI exposure. Design Five-year retrospective cohort study of veterans with new-onset epilepsy. Setting National VA and Medicare databases. Participants Veterans age 66 years and older with a new diagnosis of epilepsy between October 1, 1999-September 30, 2004 (N=9,682). Measurements We restricted AED-PDI to clinically-meaningful potential drug interactions identified by prior literature review. AED-PDI were identified using participants' date of initial AED prescription and overlapping concomitant medications. Logistic regression analysis identified factors associated with AED-PDI including demographic characteristics, chronic disease states and diagnostic setting. Results AED-PDI exposure was found in 45.5% (4,406/9,682); phenytoin, a drug with many potential drug interactions, was the most commonly prescribed AED. Cardiovascular drugs, lipid-lowering medications and psychotropic agents were the most commonly co-administered AED-PDI medications. Individuals at higher likelihood of AED-PDI exposure had 1) hypertension (OR=1.46, 99% CI 1.24-1.82), 2) hypercholesterolemia (OR=1.40, 99% CI 1.24-1.57) and 3) were diagnosed in emergency or primary care vs. Neurology settings (emergency OR: 1.30 99% CI=1.08-1.58; primary care OR: 1.29 99% CI 1.12-1.49). Conclusion Exposure to AED-PDI was substantial, but less common in epilepsy patients diagnosed in a neurology setting. Because potential outcomes associated with AED-PDI include stroke and myocardial infarction in a population already at elevated risk, clinicians should closely monitor blood pressure, coagulation, and lipid measures to minimize adverse effects of AED-PDI. Interventions to reduce AED-PDI may improve patient outcomes. PMID:20398114

  12. Methods for Elucidation of DNA-Anticancer Drug Interactions and their Applications in the Development of New Drugs.

    PubMed

    Misiak, Majus; Mantegazza, Francesco; Beretta, Giovanni L

    2016-01-01

    DNA damaging agents including anthracyclines, camptothecins and platinum drugs are among most frequently used drugs in the chemotherapeutic routine. Due to their relatively low selectivity for cancer cells, administration of these drugs is associated with adverse side effects, inherent genotoxicity with risk of developing secondary cancers. Development of new drugs, which could be spared of these drawbacks and characterize by improved antitumor efficacy, remains challenging yet vitally important task. These properties are in large part dictated by the selectivity of interaction between the drug and DNA and in this way the studies aimed at elucidating the complex interactions between ligand and DNA represent a key step in the drug development. Studies of the drug-DNA interactions encompass determination of DNA sequence specificity and mode of DNA binding as well as kinetic, dynamic and structural parameters of binding. Here, we consider the types of interactions between small molecule ligands and polynucleotides, how they are affected by DNA sequence and structure, and what is their significance for the antitumor activity. Based on this knowledge, we discuss the wide array of experimental techniques available to researchers for studying drug-DNA interactions, which include absorption and emission spectroscopies, NMR, magnetic and optical tweezers or atomic force microscopy. We show, using the clinical and experimental anticancer drugs as examples, how these methods provide various types of information and at the same time complement each other to provide full picture of drug- DNA interaction and aid in the development of new drugs.

  13. Dolutegravir plasma concentrations according to companion antiretroviral drug: unwanted drug interaction or desirable boosting effect?

    PubMed

    Cattaneo, Dario; Minisci, Davide; Cozzi, Valeria; Riva, Agostino; Meraviglia, Paola; Clementi, Emilio; Galli, Massimo; Gervasoni, Cristina

    2016-12-23

    Studies in healthy volunteers have shown that the recently approved HIV integrase inhibitor dolutegravir has limited drug-to-drug interaction profile. Here we carried out a pharmacokinetic survey in HIV-infected patients given dolutegravir as part of their antiretroviral therapy. Dolutegravir plasma trough concentrations were measured in 78 HIV-infected patients given the drug in combination with a protease inhibitor, a non-nucleoside reverse transcriptase inhibitor or abacavir/lamivudine. Drug concentrations were assessed by high performance liquid chromatography method with UV-detection. All patients were given dolutegravir at 50 mg once daily, with median trough drug concentrations of 1,096 (664-2,356) ng/ml (interindividual coefficient of variation: 85.3%). Patients given dolutegravir with atazanavir had significantly higher drug concentrations compared with those given darunavir, rilpivirine or abacavir/lamivudine (2,399 [1,929-4,070] versus 738 [552-1,048], 603 [432-1,373] or 1,045 [856-1,115] ng/ml; P<0.001 for all comparisons). By multivariate analyses, only companion antiretroviral drug resulted in significant association with dolutegravir plasma trough concentrations (P=0.012). Atazanavir coadministration significantly inhibited dolutegravir metabolism, ultimately resulting in a two- to fourfold increase in drug disposition compared with other antiretroviral drugs. This boosting effect of atazanavir could be used to optimize dolutegravir dosing in particular clinical settings.

  14. Large-Scale Identification and Analysis of Suppressive Drug Interactions

    PubMed Central

    Cokol, Murat; Weinstein, Zohar B.; Yilancioglu, Kaan; Tasan, Murat; Doak, Allison; Cansever, Dilay; Mutlu, Beste; Li, Siyang; Rodriguez-Esteban, Raul; Akhmedov, Murodzhon; Guvenek, Aysegul; Cokol, Melike; Cetiner, Selim; Giaever, Guri; Iossifov, Ivan; Nislow, Corey; Shoichet, Brian; Roth, Frederick P.

    2014-01-01

    SUMMARY One drug may suppress the effects of another. Although knowledge of drug suppression is vital to avoid efficacy-reducing drug interactions or discover countermeasures for chemical toxins, drug-drug suppression relationships have not been systematically mapped. Here, we analyze the growth response of Saccharomyces cerevisiae to anti-fungal compound (“drug”) pairs. Among 440 ordered drug pairs, we identified 94 suppressive drug interactions. Using only pairs not selected on the basis of their suppression behavior, we provide an estimate of the prevalence of suppressive interactions between anti-fungal compounds as 17%. Analysis of the drug suppression network suggested that Bromopyruvate is a frequently suppressive drug and Staurosporine is a frequently suppressed drug. We investigated potential explanations for suppressive drug interactions, including chemogenomic analysis, coaggregation, and pH effects, allowing us to explain the interaction tendencies of Bromopyruvate. PMID:24704506

  15. US Food and Drug Administration Perspectives on Clinical Mass Spectrometry.

    PubMed

    Lathrop, Julia Tait; Jeffery, Douglas A; Shea, Yvonne R; Scholl, Peter F; Chan, Maria M

    2016-01-01

    Mass spectrometry-based in vitro diagnostic devices that measure proteins and peptides are underutilized in clinical practice, and none has been cleared or approved by the Food and Drug Administration (FDA) for marketing or for use in clinical trials. One way to increase their utilization is through enhanced interactions between the FDA and the clinical mass spectrometry community to improve the validation and regulatory review of these devices. As a reference point from which to develop these interactions, this article surveys the FDA's regulation of mass spectrometry-based devices, explains how the FDA uses guidance documents and standards in the review process, and describes the FDA's previous outreach to stakeholders. Here we also discuss how further communication and collaboration with the clinical mass spectrometry communities can identify opportunities for the FDA to provide help in the development of mass spectrometry-based devices and enhance their entry into the clinic.

  16. Prediction of Drug-Target Interactions for Drug Repositioning Only Based on Genomic Expression Similarity

    PubMed Central

    Wang, Kejian; Sun, Jiazhi; Zhou, Shufeng; Wan, Chunling; Qin, Shengying; Li, Can; He, Lin; Yang, Lun

    2013-01-01

    Small drug molecules usually bind to multiple protein targets or even unintended off-targets. Such drug promiscuity has often led to unwanted or unexplained drug reactions, resulting in side effects or drug repositioning opportunities. So it is always an important issue in pharmacology to identify potential drug-target interactions (DTI). However, DTI discovery by experiment remains a challenging task, due to high expense of time and resources. Many computational methods are therefore developed to predict DTI with high throughput biological and clinical data. Here, we initiatively demonstrate that the on-target and off-target effects could be characterized by drug-induced in vitro genomic expression changes, e.g. the data in Connectivity Map (CMap). Thus, unknown ligands of a certain target can be found from the compounds showing high gene-expression similarity to the known ligands. Then to clarify the detailed practice of CMap based DTI prediction, we objectively evaluate how well each target is characterized by CMap. The results suggest that (1) some targets are better characterized than others, so the prediction models specific to these well characterized targets would be more accurate and reliable; (2) in some cases, a family of ligands for the same target tend to interact with common off-targets, which may help increase the efficiency of DTI discovery and explain the mechanisms of complicated drug actions. In the present study, CMap expression similarity is proposed as a novel indicator of drug-target interactions. The detailed strategies of improving data quality by decreasing the batch effect and building prediction models are also effectively established. We believe the success in CMap can be further translated into other public and commercial data of genomic expression, thus increasing research productivity towards valid drug repositioning and minimal side effects. PMID:24244130

  17. Discovering drug–drug interactions: a text-mining and reasoning approach based on properties of drug metabolism

    PubMed Central

    Tari, Luis; Anwar, Saadat; Liang, Shanshan; Cai, James; Baral, Chitta

    2010-01-01

    Motivation: Identifying drug–drug interactions (DDIs) is a critical process in drug administration and drug development. Clinical support tools often provide comprehensive lists of DDIs, but they usually lack the supporting scientific evidences and different tools can return inconsistent results. In this article, we propose a novel approach that integrates text mining and automated reasoning to derive DDIs. Through the extraction of various facts of drug metabolism, not only the DDIs that are explicitly mentioned in text can be extracted but also the potential interactions that can be inferred by reasoning. Results: Our approach was able to find several potential DDIs that are not present in DrugBank. We manually evaluated these interactions based on their supporting evidences, and our analysis revealed that 81.3% of these interactions are determined to be correct. This suggests that our approach can uncover potential DDIs with scientific evidences explaining the mechanism of the interactions. Contact: luis.tari@roche.com PMID:20823320

  18. Drug interactions between hormonal contraceptives and antiretrovirals.

    PubMed

    Nanda, Kavita; Stuart, Gretchen S; Robinson, Jennifer; Gray, Andrew L; Tepper, Naomi K; Gaffield, Mary E

    2017-04-24

    To summarize published evidence on drug interactions between hormonal contraceptives and antiretrovirals. Systematic review of the published literature. We searched PubMed, POPLINE, and EMBASE for peer-reviewed publications of studies (in any language) from inception to 21 September 2015. We included studies of women using hormonal contraceptives and antiretrovirals concurrently. Outcomes of interest were effectiveness of either therapy, toxicity, or pharmacokinetics. We used standard abstraction forms to summarize and assess strengths and weaknesses. Fifty reports from 46 studies were included. Most antiretrovirals whether used for therapy or prevention, have limited interactions with hormonal contraceptive methods, with the exception of efavirenz. Although depot medroxyprogesterone acetate is not affected, limited data on implants and combined oral contraceptive pills suggest that efavirenz-containing combination antiretroviral therapy may compromise contraceptive effectiveness of these methods. However, implants remain very effective despite such drug interactions. Antiretroviral plasma concentrations and effectiveness are generally not affected by hormonal contraceptives. Women taking antiretrovirals, for treatment or prevention, should not be denied access to the full range of hormonal contraceptive options, but should be counseled on the expected rates of unplanned pregnancy associated with all contraceptive methods, in order to make their own informed choices.

  19. Drug interactions between hormonal contraceptives and antiretrovirals

    PubMed Central

    Nanda, Kavita; Stuart, Gretchen S.; Robinson, Jennifer; Gray, Andrew L.; Tepper, Naomi K.; Gaffield, Mary E.

    2017-01-01

    Objective: To summarize published evidence on drug interactions between hormonal contraceptives and antiretrovirals. Design: Systematic review of the published literature. Methods: We searched PubMed, POPLINE, and EMBASE for peer-reviewed publications of studies (in any language) from inception to 21 September 2015. We included studies of women using hormonal contraceptives and antiretrovirals concurrently. Outcomes of interest were effectiveness of either therapy, toxicity, or pharmacokinetics. We used standard abstraction forms to summarize and assess strengths and weaknesses. Results: Fifty reports from 46 studies were included. Most antiretrovirals whether used for therapy or prevention, have limited interactions with hormonal contraceptive methods, with the exception of efavirenz. Although depot medroxyprogesterone acetate is not affected, limited data on implants and combined oral contraceptive pills suggest that efavirenz-containing combination antiretroviral therapy may compromise contraceptive effectiveness of these methods. However, implants remain very effective despite such drug interactions. Antiretroviral plasma concentrations and effectiveness are generally not affected by hormonal contraceptives. Conclusion: Women taking antiretrovirals, for treatment or prevention, should not be denied access to the full range of hormonal contraceptive options, but should be counseled on the expected rates of unplanned pregnancy associated with all contraceptive methods, in order to make their own informed choices. PMID:28060009

  20. [Food-drug interactions: an underestimated risk].

    PubMed

    Sönnichsen, A C; Donner-Banzhoff, N; Baum, E

    2005-11-03

    With only few exceptions, administration of medicaments should, in principle, be independent of food intake (at least half an hour before or two hours after eating). This ensures uniform and assessable bioavailability. However, it also entails the risk that the patient is more likely to forget to take medication postponed to 2 hours after a meal, than when it is directly coupled to a meal. Certain foodstuffs or food constituents, such as, for example, grapefruit, Seville orange juice, red wine, alcoholic drinks in general, or large quantities of caffeine and garlic should be avoided during drug treatment. In addition, specific interactions with certain drugs must also be taken into account (e.g. MAO inhibitors and tyramine, curamine and vitamin K).

  1. Drug-drug interactions among elderly patients hospitalized for drug toxicity.

    PubMed

    Juurlink, David N; Mamdani, Muhammad; Kopp, Alexander; Laupacis, Andreas; Redelmeier, Donald A

    2003-04-02

    Drug-drug interactions are a preventable cause of morbidity and mortality, yet their consequences in the community are not well characterized. To determine whether elderly patients admitted to hospital with specific drug toxicities were likely to have been prescribed an interacting drug in the week prior to admission. Three population-based, nested case-control studies. Ontario, Canada, from January 1, 1994, to December 31, 2000. All Ontario residents aged 66 years or older treated with glyburide, digoxin, or an angiotensin-converting enzyme (ACE) inhibitor. Case patients were those admitted to hospital for drug-related toxicity. Prescription records of cases were compared with those of controls (matched on age, sex, use of the same medication, and presence or absence of renal disease) for receipt of interacting medications (co-trimoxazole with glyburide, clarithromycin with digoxin, and potassium-sparing diuretics with ACE inhibitors). Odds ratio for association between hospital admission for drug toxicity (hypoglycemia, digoxin toxicity, or hyperkalemia, respectively) and use of an interacting medication in the preceding week, adjusted for diagnoses, receipt of other medications, the number of prescription drugs, and the number of hospital admissions in the year preceding the index date. During the 7-year study period, 909 elderly patients receiving glyburide were admitted with a diagnosis of hypoglycemia. In the primary analysis, those patients admitted for hypoglycemia were more than 6 times as likely to have been treated with co-trimoxazole in the previous week (adjusted odds ratio, 6.6; 95% confidence interval, 4.5-9.7). Patients admitted with digoxin toxicity (n = 1051) were about 12 times more likely to have been treated with clarithromycin (adjusted odds ratio, 11.7; 95% confidence interval, 7.5-18.2) in the previous week, and patients treated with ACE inhibitors admitted with a diagnosis of hyperkalemia (n = 523) were about 20 times more likely to have

  2. Pregnane X receptor and natural products: beyond drug-drug interactions.

    PubMed

    Staudinger, Jeff L; Ding, Xunshan; Lichti, Kristin

    2006-12-01

    The pregnane X receptor (PXR, NR1I2) is a member of the nuclear receptor superfamily that is activated by a myriad of compounds and natural products in clinical use. Activation of PXR represents the basis for several clinically important drug-drug interactions. Although PXR activation has undesirable effects in patients on combination therapy, it also mediates the hepatoprotective effects exhibited by some herbal remedies. This review focuses on PXR activation by natural products and the potential therapeutic opportunities presented. In particular, the biological effects of St. John's Wort, gugulipid, kava kava, Coleus forskolii, Hypoxis, Sutherlandia, qing hao, wu wei zi, gan cao and other natural products are discussed. The impact of these natural products on drug metabolism and hepatoprotection is highlighted in the context of activation and antagonism of PXR.

  3. [Potential drug interactions in patients with sepsis admitted to the intensive care unit].

    PubMed

    Caribé, R A; Chaves, G R; Pocognoni, J D; Souza, I A

    2013-01-01

    To analyze, detect and classify potential drug interactions in patients with sepsis admitted to the intensive care unit. This prospective observational cohort study of septic patients was conducted between April 2010 and August 2011. Data collection included demographic characteristics, clinical features, and analysis of pharmacotherapy. Of 86 patients, 80% had potential drug interactions, with a mean of 1.84 ± 1.09 interaction per patient. Regarding the classification of drug interactions, 64.2% had a pharmacodynamic profile, 60% were of major severity, 53.3% had a rapid onset of action, and 53.8% had good documentation. The prevalence of interactions was associated with age, number of drugs prescribed, and length of stay in the intensive care unit (p < 0.001). This study showed that drug interactions represent an important clinical concern in septic patients admitted to intensive care units. Copyright © 2013 SEFH. Published by AULA MEDICA. All rights reserved.

  4. Inferring Cuisine - Drug Interactions Using the Linked Data Approach

    PubMed Central

    Jovanovik, Milos; Bogojeska, Aleksandra; Trajanov, Dimitar; Kocarev, Ljupco

    2015-01-01

    Food - drug interactions are well studied, however much less is known about cuisine - drug interactions. Non-native cuisines are becoming increasingly more popular as they are available in (almost) all regions in the world. Here we address the problem of how known negative food - drug interactions are spread in different cuisines. We show that different drug categories have different distribution of the negative effects in different parts of the world. The effects certain ingredients have on different drug categories and in different cuisines are also analyzed. This analysis is aimed towards stressing out the importance of cuisine - drug interactions for patients which are being administered drugs with known negative food interactions. A patient being under a treatment with one such drug should be advised not only about the possible negative food - drug interactions, but also about the cuisines that could be avoided from the patient's diet. PMID:25792182

  5. Inferring cuisine--drug interactions using the linked data approach.

    PubMed

    Jovanovik, Milos; Bogojeska, Aleksandra; Trajanov, Dimitar; Kocarev, Ljupco

    2015-03-20

    Food - drug interactions are well studied, however much less is known about cuisine - drug interactions. Non-native cuisines are becoming increasingly more popular as they are available in (almost) all regions in the world. Here we address the problem of how known negative food - drug interactions are spread in different cuisines. We show that different drug categories have different distribution of the negative effects in different parts of the world. The effects certain ingredients have on different drug categories and in different cuisines are also analyzed. This analysis is aimed towards stressing out the importance of cuisine - drug interactions for patients which are being administered drugs with known negative food interactions. A patient being under a treatment with one such drug should be advised not only about the possible negative food - drug interactions, but also about the cuisines that could be avoided from the patient's diet.

  6. Tricyclic antidepressant pharmacology and therapeutic drug interactions updated

    PubMed Central

    Gillman, P K

    2007-01-01

    New data on the pharmacology of tricyclic antidepressants (TCAs), their affinities for human cloned CNS receptors and their cytochrome P450 enzyme inhibition profiles, allow improved deductions concerning their effects and interactions and indicate which of the TCAs are the most useful. The relative toxicity of TCAs continues to be more precisely defined, as do TCA interactions with selective serotonin reuptake inhibitors (SSRIs). TCA interactions with monoamine oxidase inhibitors (MAOIs) have been, historically, an uncertain and difficult question, but are now well understood, although this is not reflected in the literature. The data indicate that nortriptyline and desipramine have the most pharmacologically desirable characteristics as noradrenaline reuptake inhibitors (NRIs), and as drugs with few interactions that are also safe when coadministered with either MAOIs or SSRIs. Clomipramine is the only available antidepressant drug that has good evidence of clinically relevant serotonin and noradrenaline reuptake inhibition (SNRI). These data assist drug selection for monotherapy and combination therapy and predict reliably how and why pharmacodynamic and pharmacokinetic interactions occur. In comparison, two newer drugs proposed to have SNRI properties, duloxetine and venlafaxine, may have insufficient NRI potency to be effective SNRIs. Combinations such as sertraline and nortriptyline may therefore offer advantages over drugs like venlafaxine that have fixed ratios of SRI/NRI effects that are not ideal. However, no TCA/SSRI combination is sufficiently safe to be universally applicable without expert knowledge. Standard texts (e.g. the British National Formulary) and treatment guidelines would benefit by taking account of these new data and understandings. PMID:17471183

  7. [Interactions between herbal medicines and drugs].

    PubMed

    Tůmová, L

    2000-07-01

    At present the use of medicaments of plant origin is on the increase. It is therefore necessary to take into consideration that there exist known as well as potential interactions between the medicament of the medicinal plant. The problematic plants include Echinacea, Allium cepa, Gingko biloba, Panax ginseng, as well as Hypericum perforatum, Valeriana officinalis, or Glycyrrhiza glabra. Its use should be limited, or completely excluded in the cases of simultaneous therapy with, e.g., warfarin, hepatotoxically acting medicaments, MAOI inhibitors, phenelzin sulphate, or phenytoin, as they may decrease of completely eliminate the therapeutic effect of the administered drugs, or they may cause a toxic damage to the organism.

  8. Interaction of Drug or Food with Drug Transporters in Intestine and Liver.

    PubMed

    Nakanishi, Takeo; Tamai, Ikumi

    2015-01-01

    Oral bioavailability (F) is determined as fraction of the drug dose absorbed through the gastrointestinal membranes (Fa), the unmetabolized fraction of the absorbed dose that passes through the gut into the portal blood (Fg), and the hepatic first pass availability (Fh), namely F is expressed as the product of Fa, Fg and Fh (F = Fa.Fg.Fh). Current evidence suggests that transporter proteins play a role in intestinal absorption and hepatobiliary clearance of drugs. Among those transporters, this review will focus on PEPT1 and OATP2B1 as influx transporter and p-glycoprotein (P-gp) and BCRP as efflux transporter in intestinal epithelial cells, and on OATP1B1 and 1B3 as influx transporter and MRP2 as efflux transporter in hepatocytes, respectively, because drug-drug (DDI) and -food (DFI) interactions on these transporter are considered to affect bioavailability of their substrate drugs. DDI and DFI may reduce systemic exposure to drug by blocking influx transporters in intestine, but increase it by modulating influx and efflux transporters in liver and efflux transporters in intestines. Namely, drug disposition and efficacy are likely affected by DDI and DFI, resulting in treatment failures or increase in adverse effect. Therefore, it is of significantly importance to understand precise mechanism of DDI and DFI. This review will present information about transporter-based DDI and DFI in the processes of intestinal absorption and hepatic clearance of drugs, and discuss about their clinical implication.

  9. Pharmacokinetics, drug interactions, and tolerability of paroxetine and paroxetine CR.

    PubMed

    DeVane, C Lindsay

    2003-01-01

    The development of paroxetine hydrochloride began in the late 1970s. An abundance of data have been accumulated from clinical investigations demonstrating the efficacy of paroxetine in the treatment of major depression and anxiety disorders. The published literature contains a substantial amount of supportive data documenting the safety, tolerability, and pharmacokinetic and pharmacodynamic properties of paroxetine. The role of paroxetine in clinically significant drug-drug interactions, especially involving metabolic inhibitory effects on the substrates of cytochrome p450 2D6, has long been suspected, but only isolated cases provide any evidence. Published data for widespread patient morbidity from drug interactions with paroxetine are almost nonexistent. Considerations of the pharmacokinetic properties of paroxetine support a rationale for the development of new dosage forms that maintain the efficacy yet improve the tolerability profile of the selective serotonin reuptake inhibitors. Paroxetine controlled-release is an enteric-coated formulation with release features that may enhance clinical outcome by modifying absorption-related pharmacokinetics, improving tolerability, and maintaining therapeutic benefits

  10. The Effect of CYP2D6 Drug-Drug Interactions on Hydrocodone Effectiveness

    PubMed Central

    Monte, Andrew A.; Heard, Kennon J.; Campbell, Jenny; Hamamura, D.; Weinshilboum, Richard M.; Vasiliou, Vasilis

    2014-01-01

    Objectives The hepatic cytochrome 2D6 (CYP2D6) is a saturable enzyme responsible for metabolism of approximately 25% of known pharmaceuticals. CYP interactions can alter the efficacy of prescribed medications. Hydrocodone is largely dependent on CYP2D6 metabolism for analgesia, ondansetron is inactivated by CYP2D6, and oxycodone analgesia is largely independent of CYP2D6. The objective was to determine if CYP2D6 medication co-ingestion decreases the effectiveness of hydrocodone. Methods This was a prospective observational study conducted in an academic U.S. emergency department (ED). Subjects were included if they had self-reported pain or nausea; and were excluded if they were unable to speak English, were less than 18 years of age, had liver or renal failure, or carried diagnoses of chronic pain or cyclic vomiting. Detailed drug ingestion histories for the preceding 48 hours prior to the ED visit were obtained. The patient's pain and nausea were quantified using a 100-millimeter visual analogue scale (VAS) at baseline prior to drug administration and following doses of hydrocodone, oxycodone, or ondansetron. We used a mixed model with random subject effect to determine the interaction between CYP2D6 drug ingestion and study drug effectiveness. Odds ratios (OR) were calculated to compare clinically significant VAS changes between CYP2D6 users and non-users. Results Two hundred fifty (49.8%) of the 502 subjects enrolled had taken at least one CYP2D6 substrate, inhibitor, or inducing pharmaceutical, supplement, or illicit drug in the 48 hours prior to ED presentation. CYP2D6-drug users were one third as likely to respond to hydrocodone (OR 0.33, 95% CI = 0.1 to 0.8), and more than three times as likely as non-users to respond to ondansetron (OR 3.4, 95% CI = 1.3 to 9.1). There was no significant difference in oxycodone effectiveness between CYP2D6 users and non-users (OR 0.53, 95% CI = 0.3 to 1.1). Conclusions CYP2D6 drug-drug interactions appear to change

  11. Physiologically-Based Pharmacokinetic Modeling of Macitentan: Prediction of Drug-Drug Interactions.

    PubMed

    de Kanter, Ruben; Sidharta, Patricia N; Delahaye, Stéphane; Gnerre, Carmela; Segrestaa, Jerome; Buchmann, Stephan; Kohl, Christopher; Treiber, Alexander

    2016-03-01

    Macitentan is a novel dual endothelin receptor antagonist for the treatment of pulmonary arterial hypertension (PAH). It is metabolized by cytochrome P450 (CYP) enzymes, mainly CYP3A4, to its active metabolite ACT-132577. A physiological-based pharmacokinetic (PBPK) model was developed by combining observations from clinical studies and physicochemical parameters as well as absorption, distribution, metabolism and excretion parameters determined in vitro. The model predicted the observed pharmacokinetics of macitentan and its active metabolite ACT-132577 after single and multiple dosing. It performed well in recovering the observed effect of the CYP3A4 inhibitors ketoconazole and cyclosporine, and the CYP3A4 inducer rifampicin, as well as in predicting interactions with S-warfarin and sildenafil. The model was robust enough to allow prospective predictions of macitentan-drug combinations not studied, including an alternative dosing regimen of ketoconazole and nine other CYP3A4-interacting drugs. Among these were the HIV drugs ritonavir and saquinavir, which were included because HIV infection is a known risk factor for the development of PAH. This example of the application of PBPK modeling to predict drug-drug interactions was used to support the labeling of macitentan (Opsumit).

  12. Interactions between modern and Chinese medicinal drugs: a general review.

    PubMed

    Cheng, K F; Leung, K S; Leung, P C

    2003-01-01

    While the use of health food and over-the-counter drugs for health promotion and adjuvant therapy is becoming increasingly popular, the concern about adverse effects is mounting. The possible adverse effects that may arise from drug interactions between these herbal preparations and standard modem therapy are equally worrying. Herbal toxicity and adverse effects are well documented in classical Chinese medicinal volumes. Interactions between herbal preparations and standard modem therapy are known. Extensive work needs to be done before useful guidelines can be established. However, based on available reports and clinical observations, some commonly used herbs and Chinese medicines have already demonstrated the need for special attention when used together with modern therapy. This paper analyzes the important material already available, and would serve as a preliminary checklist for patients who are taking herbal preparations, while at the same time receiving treatment from modern medicine.

  13. Clinical implications of drug abuse epidemiology.

    PubMed

    Schulden, Jeffrey D; Lopez, Marsha F; Compton, Wilson M

    2012-06-01

    Research on the epidemiology of illicit drug use disorders provides continued critical insights into the distribution and determinants of drug use and drug use disorders in the United States. This research serves as a foundation for understanding the etiology of these disorders, helping to disentangle the complex interrelationship of developmental, genetic, and environmental risk and protective factors. Building on an understanding of this research in substance abuse epidemiology, it is important for clinicians to understand the unique trends in drug use in the overall communities that they serve and the unique risk factors for given individuals. The generally high prevalence of substance use disorders, along with their high comorbidity with other psychiatric disorders and with the HIV epidemic, make prevention, evaluation, and referral for treatment for drug abuse an important part of routine clinical practice in a range of clinical settings, including primary care, psychiatric, and emergency department settings. Ongoing efforts to ensure insurance coverage parity for the treatment of mental health and substance use disorders offer the promise of continued improvements in the integration and availability of such services in the broader US health care system.

  14. Clinical toxicology of newer recreational drugs.

    PubMed

    Hill, Simon L; Thomas, Simon H L

    2011-10-01

    Novel synthetic 'designer' drugs with stimulant, ecstasy-like (entactogenic) and/or hallucinogenic properties have become increasingly popular among recreational drug users in recent years. The substances used change frequently in response to market trends and legislative controls and it is an important challenge for poisons centres and clinical toxicologists to remain updated on the pharmacological and toxicological effects of these emerging agents. To review the available information on newer synthetic stimulant, entactogenic and hallucinogenic drugs, provide a framework for classification of these drugs based on chemical structure and describe their pharmacology and clinical toxicology. A comprehensive review of the published literature was performed using PUBMED and Medline databases, together with additional non-peer reviewed information sources, including books, media reports, government publications and internet resources, including drug user web forums. Novel synthetic stimulant, entactogenic or hallucinogenic designer drugs are increasingly available to users as demonstrated by user surveys, poisons centre calls, activity on internet drug forums, hospital attendance data and mortality data. Some population sub groups such as younger adults who attend dance music clubs are more likely to use these substances. The internet plays an important role in determining the awareness of and availability of these newer drugs of abuse. Most novel synthetic stimulant, entactogenic or hallucinogenic drugs of abuse can be classified according to chemical structure as piperazines (e.g. benzylpiperazine (BZP), trifluoromethylphenylpiperazine), phenethylamines (e.g. 2C or D-series of ring-substituted amfetamines, benzodifurans, cathinones, aminoindans), tryptamines (e.g. dimethyltryptamine, alpha-methyltryptamine, ethyltryptamine, 5-methoxy-alphamethyltryptamine) or piperidines and related substances (e.g. desoxypipradrol, diphenylprolinol). Alternatively classification may

  15. [Adverse effects and interactions of phytotherapeutic drugs].

    PubMed

    Iten, F; Reichling, J; Saller, R

    2002-06-01

    The significantly increased sales figures many phytopharmaceuticals have achieved during the last years prove the confidence that a great part of the population has in herbal remedies. This is primarily due to the wide-spread opinion that herbal remedies are free from side-effects. The long tradition and presumed 'natural' origin are no guarantee for safety in the treatment with herbal remedies. Even if a large proportion of the undesirable events is traceable to falsifications, impurities and lacking quality controls, herbal drugs with controlled quality should not be generally classified as harmless. In the meantime it has been possible to prove the presence of active substances with toxic and cancerogenic properties in various phytopharmaceuticals. Interactions with other drugs have been documented in a number of notes, where phytopharmaceuticals could influence the blood plasma level of various drugs, presumably by activating or inhibiting the cytochrom-P450-system. At present, especially data about adverse effects during long-term administration of herbal remedies are under-represented. Particularly because of their presumed harmlessness they often are prescribed in the case of chronic diseases and then taken over a longer period of time. The frequency of undesirable effects of phytopharmaceuticals is remarkably low, even if the present lack of data about side-effects is considered.

  16. Mechanisms of ethanol-drug-nutrition interactions.

    PubMed

    Lieber, C S

    1994-01-01

    Mechanisms of the toxicologic manifestations of ethanol abuse are reviewed. Hepatotoxicity of ethanol results from alcohol dehydrogenase-mediated excessive hepatic generation of nicotinamide adenine dinucleotide and acetaldehyde. It is now recognized that acetaldehyde is also produced by an accessory (but inducible) pathway, the microsomal ethanol-oxidizing system, which involves a specific cytochrome P450. It generates oxygen radicals and activates many xenobiotics to toxic metabolites, thereby explaining the increased vulnerability of heavy drinkers to industrial solvents, anesthetics, commonly used drugs, over-the-counter medications and carcinogens. The contribution of gastric alcohol dehydrogenase to the first pass metabolism of ethanol and alcohol-drug interactions is now recognized. Alcohol also alters the degradation of key nutrients, thereby promoting deficiencies as well as toxic interactions with vitamin A and beta-carotene. Conversely, nutritional deficits may affect the toxicity of ethanol and acetaldehyde, as illustrated by the depletion in glutathione, ameliorated by S-adenosyl-L-methionine. Other supernutrients include polyenylphosphatidylcholine, shown to correct the alcohol-induced hepatic phosphatidylcholine depletion and to prevent alcoholic cirrhosis in non-human primates. Thus, a better understanding of the pathology induced by ethanol has now generated improved prospects for therapy.

  17. Clarifying busulfan metabolism and drug interactions to support new therapeutic drug monitoring strategies: a comprehensive review.

    PubMed

    Myers, Alan L; Kawedia, Jitesh D; Champlin, Richard E; Kramer, Mark A; Nieto, Yago; Ghose, Romi; Andersson, Borje S

    2017-09-01

    Busulfan (Bu) is an alkylating agent with a limited therapeutic margin and exhibits inter-patient variability in pharmacokinetics (PK). Despite decades of use, mechanisms of Bu PK-based drug-drug interactions (DDIs), as well as the negative downstream effects of these DDIs, have not been fully characterized. Areas covered: This article provides an overview of Bu PK, with a primary focus on how known and potentially unknown drug metabolism pathways influence Bu-associated DDIs. In addition, pharmacogenomics of Bu chemotherapy and Bu-related DDIs observed in the stem cell transplant clinic (SCT) are summarized. Finally the increasing importance of Bu therapeutic drug monitoring is highlighted. Expert opinion: Mechanistic studies of Bu metabolism have shown that in addition to GST isoenzymes, other oxidative enzymes (CYP, FMO) and ABC/MDR drug transporters likely contribute to the overall clearance of Bu. Despite many insights, results from clinical studies, especially in polypharmacy settings and between pediatric and adult patients, remain conflicting. Further basic science and clinical investigative efforts are required to fully understand the key factors determining Bu PK characteristics and its effects on complications after SCT. Improved TDM strategies are promising components to further investigate, for instance DDI mechanisms and patient outcomes, in the highly complex SCT treatment setting.

  18. Physicians' responses to computerized drug interaction alerts with password overrides.

    PubMed

    Nasuhara, Yasuyuki; Sakushima, Ken; Endoh, Akira; Umeki, Reona; Oki, Hiromitsu; Yamada, Takehiro; Iseki, Ken; Ishikawa, Makoto

    2015-08-28

    Although evidence has suggested that computerized drug-drug interaction alert systems may reduce the occurrence of drug-drug interactions, the numerous reminders and alerts generated by such systems could represent an excessive burden for clinicians, resulting in a high override rate of not only unimportant, but also important alerts. We analyzed physicians' responses to alerts of relative contraindications and contraindications for coadministration in a computerized drug-drug interaction alert system at Hokkaido University Hospital. In this system, the physician must enter a password to override an alert and continue an order. All of the drug-drug interaction alerts generated between December 2011 and November 2012 at Hokkaido University Hospital were included in this study. The system generated a total of 170 alerts of relative contraindications and contraindication for coadministration; 59 (34.7 %) of the corresponding orders were cancelled after the alert was accepted, and 111 (65.3 %) were overridden. The most frequent contraindication alert was for the combination of 3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitors and fibrates. No incidents involving drug-drug interactions were reported among patients who were prescribed contraindicated drug pairs after an override. Although computerized drug-drug interaction alert systems that require password overrides appear useful for promoting medication safety, having to enter passwords to override alerts may represent an excessive burden for the prescribing physician. Therefore, both patient safety and physicians' workloads should be taken into consideration in future designs of computerized drug-drug interaction alert systems.

  19. Metabolic drug interactions between antidepressants and anticancer drugs: focus on selective serotonin reuptake inhibitors and hypericum extract.

    PubMed

    Caraci, Filippo; Crupi, Rosalia; Drago, Filippo; Spina, Edoardo

    2011-07-01

    Different antidepressant drugs are currently used for the treatment of depression in cancer patients, such as second-generation antidepressants and, recently, the extracts of Hypericum perforatum. These agents are susceptible to metabolically-based drug interactions with anticancer drugs. The aim of the present article is to provide an updated review of clinically relevant metabolic drug interactions between selected anticancer drugs and antidepressants, focusing on selective serotonin reuptake inhibitors (SSRIs) and Hypericum extract. SSRIs can cause pharmacokinetic interactions through their in vitro ability to inhibit one or more cytochrome P450 isoenzymes (CYPs). SSRIs differ in their potential for metabolic drug interactions with anticancer drugs. Fluoxetine and paroxetine are potent inhibitors of CYP2D6 and administration of these SSRIs reduces the clinical benefit of an anticancer drug, such as tamoxifen, by decreasing the formation of active metabolites of this drug. Women with breast cancer who receive paroxetine in combination with tamoxifen are at increased risk for death. Other SSRIs, including citalopram, escitalopram, are weak or negligible inhibitors of CYP2D6 and are less likely to interact with anticancer drugs, while sertraline causes significant inhibition of this isoform only at high doses. Hypericum extract, by inducing both the CYP3A4 and the P-glycoprotein (P-gp), can reduce the plasma concentrations of different antineoplastic agents such as imatinib, irinotecan and docetaxel, thus reducing the clinical efficacy of these drugs. Although these interactions are often predictable, the use of fluoxetine, paroxetine and Hypericum extract should be avoided in cancer patients.

  20. Core drug-drug interaction alerts for inclusion in pediatric electronic health records with computerized prescriber order entry.

    PubMed

    Harper, Marvin B; Longhurst, Christopher A; McGuire, Troy L; Tarrago, Rod; Desai, Bimal R; Patterson, Al

    2014-03-01

    The study aims to develop a core set of pediatric drug-drug interaction (DDI) pairs for which electronic alerts should be presented to prescribers during the ordering process. A clinical decision support working group composed of Children's Hospital Association (CHA) members was developed. CHA Pharmacists and Chief Medical Information Officers participated. Consensus was reached on a core set of 19 DDI pairs that should be presented to pediatric prescribers during the order process. We have provided a core list of 19 high value drug pairs for electronic drug-drug interaction alerts to be recommended for inclusion as high value alerts in prescriber order entry software used with a pediatric patient population. We believe this list represents the most important pediatric drug interactions for practical implementation within computerized prescriber order entry systems.

  1. Stress, alcohol and drug interaction: an update of human research

    PubMed Central

    Uhart, Magdalena; Wand, Gary S.

    2008-01-01

    A challenging question that continues unanswered in the field of addiction is why some individuals are more vulnerable to substance use disorders than others. Numerous risk factors for alcohol and other drugs of abuse, including exposure to various forms of stress, have been identified in clinical studies. However, the neurobiological mechanisms that underlie this relationship remain unclear. Critical neurotransmitters, hormones and neurobiological sites have been recognized, which may provide the substrates that convey individual differences in vulnerability to addiction. With the advent of more sophisticated measures of brain function in humans, such as functional imaging technology, the mechanisms and neural pathways involved in the interactions between drugs of abuse, the mesocorticolimbic dopamine system and stress systems are beginning to be characterized. This review provides a neuroadaptive perspective regarding the role of the hormonal and brain stress systems in drug addiction with a focus on the changes that occur during the transition from occasional drug use to drug dependence. We also review factors that contribute to different levels of hormonal/brain stress activation, which has implications for understanding individual vulnerability to drug dependence. Ultimately, these efforts may improve our chances of designing treatment strategies that target addiction at the core of the disorder. PMID:18855803

  2. ABC multidrug transporters: target for modulation of drug pharmacokinetics and drug-drug interactions.

    PubMed

    Marquez, Béatrice; Van Bambeke, Françoise

    2011-05-01

    Nine proteins of the ABC superfamily (P-glycoprotein, 7 MRPs and BCRP) are involved in multidrug transport. Being localised at the surface of endothelial or epithelial cells, they expel drugs back to the external medium (if located at the apical side [P-glycoprotein, BCRP, MRP2, MRP4 in the kidney]) or to the blood (if located at the basolateral side [MRP1, MRP3, MRP4, MRP5]), modulating thereby their absorption, distribution, and elimination. In the CNS, most transporters are oriented to expel drugs to the blood. Transporters also cooperate with Phase I/Phase II metabolism enzymes by eliminating drug metabolites. Their major features are (i) their capacity to recognize drugs belonging to unrelated pharmacological classes, and (ii) their redundancy, a single molecule being possibly substrate for different transporters. This ensures an efficient protection of the body against invasion by xenobiotics. Competition for transport is now characterized as a mechanism of interaction between co-administered drugs, one molecule limiting the transport of the other, potentially affecting bioavailability, distribution, and/or elimination. Again, this mechanism reinforces drug interactions mediated by cytochrome P450 inhibition, as many substrates of P-glycoprotein and CYP3A4 are common. Induction of the expression of genes coding for MDR transporters is another mechanism of drug interaction, which could affect all drug substrates of the up-regulated transporter. Overexpression of MDR transporters confers resistance to anticancer agents and other therapies. All together, these data justify why studying drug active transport should be part of the evaluation of new drugs, as recently recommended by the FDA.

  3. The role of the clinical pharmacologist in the management of adverse drug reactions.

    PubMed

    Moore, N

    2001-01-01

    The classical definition of clinical pharmacology is the study or the knowledge of the effects of drugs in humans. The activities of a clinical pharmacologist can vary from country to country, usually ranging from involvement in clinical trials, especially fundamental pharmacodynamic studies, to studies of pharmacokinetics and drug metabolism, to pharmacogenetics. Most clinical pharmacologists outside industry are in hospitals or university hospitals and research centres. In addition to research, this implies teaching of clinical pharmacology, and interacting with other medical staff: in the field of research, giving advice on clinical trials methodology and often managing a therapeutic drug monitoring centre. Some clinical pharmacologists have clinical departments with beds or consulting offices. Can there be another role for the clinical pharmacologist that would increase his or her usefulness for the medical community? Adverse drug reactions (ADRs) are remarkably complex events, related to drug effects, patient characteristics (background diseases, genetics), and drug/disease interactions. Evaluation of ADRs requires understanding of drug mechanisms and interactions, and of disease diagnostics, especially in the discussion of alternative diagnoses. This implies expertise as a pharmacologist and a clinician. In addition, because not all adverse reactions or interactions are in the Summary of Product Characteristics, and because problems arise long before they report in the literature, it is necessary for the clinical pharmacologist to have knowledge of ongoing regulatory processes, in addition to having access to the published literature. Helping clinicians cope with individual patient problems will also improve the clinical pharmacologist's integration into the healthcare process.

  4. Clopidogrel-Paclitaxel Drug-Drug Interaction: A Pharmacoepidemiologic Study.

    PubMed

    Agergaard, K; Mau-Sørensen, M; Stage, T B; Jørgensen, T L; Hassel, R E; Steffensen, K D; Pedersen, J W; Milo, Mlh; Poulsen, S H; Pottegård, A; Hallas, J; Brøsen, K; Bergmann, T K

    2017-09-01

    Paclitaxel is mainly eliminated by CYP2C8 in the liver. CYP2C8 is strongly inhibited by the clopidogrel metabolite acyl-β-D-glucuronide. To determine if this interaction has clinical relevance, we identified 48 patients treated with clopidogrel and paclitaxel using databases and a prescription register. Peripheral sensory neuropathy was retrospectively evaluated from medical charts and compared to that of 88 age- and sex-matched controls treated with paclitaxel and low-dose aspirin. By a cumulative dose of 1,500 mg paclitaxel, 35% of the patients had developed severe neuropathy. The overall hazard ratio between clopidogrel use and severe paclitaxel neuropathy was 1.7 (95% confidence interval, 0.9-3.0). Among those receiving a high-dose paclitaxel regimen, the hazard ratio was 2.3 (95% confidence interval, 1.1-4.5). Our study indicates that clopidogrel is associated with a clinically relevant increased risk of neuropathy in patients treated with high-dose paclitaxel. © 2017 American Society for Clinical Pharmacology and Therapeutics.

  5. Pharmacogenomic study using bio- and nanobioelectrochemistry: Drug-DNA interaction.

    PubMed

    Hasanzadeh, Mohammad; Shadjou, Nasrin

    2016-04-01

    Small molecules that bind genomic DNA have proven that they can be effective anticancer, antibiotic and antiviral therapeutic agents that affect the well-being of millions of people worldwide. Drug-DNA interaction affects DNA replication and division; causes strand breaks, and mutations. Therefore, the investigation of drug-DNA interaction is needed to understand the mechanism of drug action as well as in designing DNA-targeted drugs. On the other hand, the interaction between DNA and drugs can cause chemical and conformational modifications and, thus, variation of the electrochemical properties of nucleobases. For this purpose, electrochemical methods/biosensors can be used toward detection of drug-DNA interactions. The present paper reviews the drug-DNA interactions, their types and applications of electrochemical techniques used to study interactions between DNA and drugs or small ligand molecules that are potentially of pharmaceutical interest. The results are used to determine drug binding sites and sequence preference, as well as conformational changes due to drug-DNA interactions. Also, the intention of this review is to give an overview of the present state of the drug-DNA interaction cognition. The applications of electrochemical techniques for investigation of drug-DNA interaction were reviewed and we have discussed the type of qualitative or quantitative information that can be obtained from the use of each technique. Copyright © 2015 Elsevier B.V. All rights reserved.

  6. Interactive mixture as a rapid drug delivery system.

    PubMed

    Lee, Chin Chiat; Ong, Charlene Li Ching; Heng, Paul Wan Sia; Chan, Lai Wah; Wong, Tin Wui

    2008-02-01

    The effectiveness of an interactive mixture as a rapid drug delivery system is compared with that of a solid dispersion. The influences of drug load, particle size, and crystallinity of these test systems are investigated. The interactive mixtures and solid dispersions were prepared from polyethylene glycol (PEG) 3350 and hydrophobic nifedipine drug by means of physical mixing and melting methods, respectively. The formed products were subjected to drug particle size and crystallinity analyses, and dissolution tests. In comparison with the interactive mixtures, the solid dispersions with low drug load were more effective as a rapid drug delivery system, as the size of a given batch of drug particles was markedly reduced by the molten PEG 3350. The rate and extent of drug dissolution were mainly promoted by decreasing effective drug particle size. However, these were lower in the solid dispersions than in the interactive mixtures when a high load of fine drug particles was used as the starting material. This was attributed to drug coarsening during the preparation of the solid dispersion. Unlike solid dispersions, the interactive mixtures could accommodate a high load of fine drug particles without compromising its capacity to enhance the rate and extent of drug dissolution. The interactive mixture is appropriate for use to deliver a fine hydrophobic drug in a formulation requiring a high drug load.

  7. A novel approach to the prediction of drug-drug interactions in humans based on the serum incubation method.

    PubMed

    Shibata, Yoshihiro; Takahashi, Hiroyuki; Chiba, Masato; Ishii, Yasuyuki

    2008-01-01

    A novel method for the prediction of drug-drug interaction has been established based on the in vitro metabolic stability in the "serum incubation method" using cryopreserved human hepatocytes suspended in 100% human serum. As a novel approach, the inhibitory effect of inhibitors on the metabolism of substrates during the first-pass elimination process in the liver (hepatic availability) and in the elimination process from the systemic circulation (hepatic clearance) were separately predicted with the anticipated inhibitor/substrate concentrations during absorption and in the systemic circulation, respectively. Ketoconazole strongly inhibited CYP3A4-mediated terfenadine metabolism in vitro, and the method predicted 6- to 37-fold increase of terfenadine AUC by the concomitant dosing of ketoconazole, which reasonably well agreed with the observed 13- to 59-fold increase of AUC in clinical studies. The CYP3A4-mediated metabolism of indinavir was also subject to the inhibition by ketoconazole in vitro at the lower indinavir concentration (2 microM), whereas no substantial inhibition was observed at 12 microM due to the saturation of indinavir metabolism. Predicted no interaction between ketoconazole and indinavir was consistent with the minimal increase (1.3-fold increase) of indinavir AUC by ketoconazole observed in clinical study. In addition, the method was applied to the CYP2D6-mediated desipramine-quinidine interaction: the predicted 6.4-fold increase of desipramine AUC by quinidine was consistent with the observed 6.7-fold increase of AUC in the clinical drug-drug interaction study. On the other hand, desipramine metabolism was little affected by ketoconazole in vitro, and consequently, it predicted no drug-drug interaction between desipramine and ketoconazole in humans, which agreed with the negligible interaction observed in clinical study. The accuracy of predictions for drug-drug interaction by the serum incubation method was evaluated by comparing the

  8. [Clinical practice guideline. Drug prescription in elderly].

    PubMed

    Peralta-Pedrero, María Luisa; Valdivia-Ibarra, Francisco Javier; Hernández-Manzano, Mario; Medina-Beltrán, Gustavo Rodrigo; Cordero-Guillén, Miguel Angel; Baca-Zúñiga, José; Cruz-Avelar, Agles; Aguilar-Salas, Ismael; Avalos-Mejía, Annia Marisol

    2013-01-01

    The process of prescribing a medication is complex and includes: deciding whether it is indicated, choosing the best option, determining the dose and the appropriate management scheme to the physiological condition of the patient, and monitoring effectiveness and toxicity. We have to inform patients about the expected side effects and indications for requesting a consultation. Specific clinical questions were designed based on the acronym PICOST. The search was made in the specific websites of clinical practice guidelines, was limited to the population of older adults, in English or Spanish. We used 10 related clinical practice guidelines, eight systematic reviews and five meta-analyses. Finally, we made a search of original articles or clinical reviews for specific topics. The development and validation of clinical practice guidelines for "rational drug prescriptions in the elderly" is intended to promote an improvement in the quality of prescription through the prevention and detection of inappropriate prescribing in the elderly and, as a result of this, a decrease in the adverse events by drugs, deterioration of health of patients and expenditure of resources.

  9. Adverse drug reactions and drug–drug interactions with over-the-counter NSAIDs

    PubMed Central

    Moore, Nicholas; Pollack, Charles; Butkerait, Paul

    2015-01-01

    Nonsteroidal anti-inflammatory drugs (NSAIDs) such as ibuprofen have a long history of safe and effective use as both prescription and over-the-counter (OTC) analgesics/antipyretics. The mechanism of action of all NSAIDs is through reversible inhibition of cyclooxygenase enzymes. Adverse drug reactions (ADRs) including gastrointestinal bleeding as well as cardiovascular and renal effects have been reported with NSAID use. In many cases, ADRs may occur because of drug–drug interactions (DDIs) between the NSAID and a concomitant medication. For example, DDIs have been reported when NSAIDs are coadministered with aspirin, alcohol, some antihypertensives, antidepressants, and other commonly used medications. Because of the pharmacologic nature of these interactions, there is a continuum of risk in that the potential for an ADR is dependent on total drug exposure. Therefore, consideration of dose and duration of NSAID use, as well as the type or class of comedication administered, is important when assessing potential risk for ADRs. Safety findings from clinical studies evaluating prescription-strength NSAIDs may not be directly applicable to OTC dosing. Health care providers can be instrumental in educating patients that using OTC NSAIDs at the lowest effective dose for the shortest required duration is vital to balancing efficacy and safety. This review discusses some of the most clinically relevant DDIs reported with NSAIDs based on major sites of ADRs and classes of medication, with a focus on OTC ibuprofen, for which the most data are available. PMID:26203254

  10. The clinical pharmacologist in drug discovery and development

    PubMed Central

    LEWIS, PETER

    1996-01-01

    1Clinical pharmacology is a key activity in drug discovery and drug development with much to contribute to drug innovation. 2However, very few clinical pharmacologists choose the pharmaceutical industry as their ultimate career. 3Medical alumni of the RPMS clinical pharmacology department illustrate this; only four industrial careers vs thirty professors of clinical pharmacology or medicine. PMID:8807154

  11. Pharmacokinetic Herb-Drug Interactions: Insight into Mechanisms and Consequences.

    PubMed

    Oga, Enoche F; Sekine, Shuichi; Shitara, Yoshihisa; Horie, Toshiharu

    2016-04-01

    Herbal medicines are currently in high demand, and their popularity is steadily increasing. Because of their perceived effectiveness, fewer side effects and relatively low cost, they are being used for the management of numerous medical conditions. However, they are capable of affecting the pharmacokinetics and pharmacodynamics of coadministered conventional drugs. These interactions are particularly of clinically relevance when metabolizing enzymes and xenobiotic transporters, which are responsible for the fate of many drugs, are induced or inhibited, sometimes resulting in unexpected outcomes. This article discusses the general use of herbal medicines in the management of several ailments, their concurrent use with conventional therapy, mechanisms underlying herb-drug interactions (HDIs) as well as the drawbacks of herbal remedy use. The authors also suggest means of surveillance and safety monitoring of herbal medicines. Contrary to popular belief that "herbal medicines are totally safe," we are of the view that they are capable of causing significant toxic effects and altered pharmaceutical outcomes when coadministered with conventional medicines. Due to the paucity of information as well as sometimes conflicting reports on HDIs, much more research in this field is needed. The authors further suggest the need to standardize and better regulate herbal medicines in order to ensure their safety and efficacy when used alone or in combination with conventional drugs.

  12. Selective serotonin reuptake inhibitor drug interactions in patients receiving statins.

    PubMed

    Andrade, Chittaranjan

    2014-02-01

    Elderly patients commonly receive statin drugs for the primary or secondary prevention of cardiovascular and cerebrovascular events. Elderly patients also commonly receive antidepressant drugs, usually selective serotonin reuptake inhibitors (SSRIs), for the treatment of depression, anxiety, or other conditions. SSRIs are associated with many pharmacokinetic drug interactions related to the inhibition of the cytochrome P450 (CYP) metabolic pathways. There is concern that drugs that inhibit statin metabolism can trigger statin adverse effects, especially myopathy (which can be potentially serious, if rhabdomyolysis occurs). However, a detailed literature review of statin metabolism and of SSRI effects on CYP enzymes suggests that escitalopram, citalopram, and paroxetine are almost certain to be safe with all statins, and rosuvastatin, pitavastatin, and pravastatin are almost certain to be safe with all SSRIs. Even though other SSRI-statin combinations may theoretically be associated with risks, the magnitude of the pharmacokinetic interaction is likely to be below the threshold for clinical significance. Risk, if at all, lies in combining fluvoxamine with atorvastatin, simvastatin, or lovastatin, and even this risk can be minimized by using lower statin doses and monitoring the patient.

  13. Role of cytochrome P450 in drug interactions.

    PubMed

    Bibi, Zakia

    2008-10-18

    Drug-drug interactions have become an important issue in health care. It is now realized that many drug-drug interactions can be explained by alterations in the metabolic enzymes that are present in the liver and other extra-hepatic tissues. Many of the major pharmacokinetic interactions between drugs are due to hepatic cytochrome P450 (P450 or CYP) enzymes being affected by previous administration of other drugs. After coadministration, some drugs act as potent enzyme inducers, whereas others are inhibitors. However, reports of enzyme inhibition are very much more common. Understanding these mechanisms of enzyme inhibition or induction is extremely important in order to give appropriate multiple-drug therapies. In future, it may help to identify individuals at greatest risk of drug interactions and adverse events.

  14. Role of cytochrome P450 in drug interactions

    PubMed Central

    Bibi, Zakia

    2008-01-01

    Drug-drug interactions have become an important issue in health care. It is now realized that many drug-drug interactions can be explained by alterations in the metabolic enzymes that are present in the liver and other extra-hepatic tissues. Many of the major pharmacokinetic interactions between drugs are due to hepatic cytochrome P450 (P450 or CYP) enzymes being affected by previous administration of other drugs. After coadministration, some drugs act as potent enzyme inducers, whereas others are inhibitors. However, reports of enzyme inhibition are very much more common. Understanding these mechanisms of enzyme inhibition or induction is extremely important in order to give appropriate multiple-drug therapies. In future, it may help to identify individuals at greatest risk of drug interactions and adverse events. PMID:18928560

  15. On the interaction between drugs of abuse and adolescent social behavior.

    PubMed

    Trezza, Viviana; Baarendse, Petra J J; Vanderschuren, Louk J M J

    2014-04-01

    Social factors influence drug abuse. Conversely, drugs of abuse alter social behavior. This is especially pertinent during post-weaning development, when there are profound changes in the social repertoire, and the sensitivity to the positive and negative effects of drugs of abuse is altered. This study aimed to provide an overview of our current understanding of the interaction between drugs of abuse and juvenile/adolescent social behavior. We first provide evidence that a characteristic form of juvenile and adolescent social behavior, i.e., social play behavior, has reinforcing properties and is affected by drugs of abuse. Next, social risk factors for drug use and addiction are described, including antisocial personality traits and early social insults. Last, we discuss research that investigates social influences on drug use, as well as the consequences of perinatal drug exposure on later social interactions. Social play behavior is highly rewarding in laboratory animals, and it is affected by low doses of opioids, cannabinoids, ethanol, nicotine, and psychostimulants. In humans, antisocial personality traits, most prominently in the form of conduct disorder, are a prominent risk factor for drug addiction. Preclinical studies have consistently shown altered sensitivity to drugs as a result of social isolation during post-weaning development. The social environment of an individual has a profound, but complex, influence on drug use, and perinatal drug exposure markedly alters later social interactions. The studies reviewed here provide a framework to understand the interaction between drugs of abuse and adolescent social interaction, at the preclinical and the clinical level.

  16. Optimizing hepatitis C virus treatment through pharmacist interventions: Identification and management of drug-drug interactions

    PubMed Central

    Langness, Jacob A; Nguyen, Matthew; Wieland, Amanda; Everson, Gregory T; Kiser, Jennifer J

    2017-01-01

    AIM To quantify drug-drug-interactions (DDIs) encountered in patients prescribed hepatitis C virus (HCV) treatment, the interventions made, and the time spent in this process. METHODS As standard of care, a clinical pharmacist screened for DDIs in patients prescribed direct acting antiviral (DAA) HCV treatment between November 2013 and July 2015 at the University of Colorado Hepatology Clinic. HCV regimens prescribed included ledipasvir/sofosbuvir (LDV/SOF), paritaprevir/ritonavir/ombitasvir/dasabuvir (OBV/PTV/r + DSV), simeprevir/sofosbuvir (SIM/SOF), and sofosbuvir/ribavirin (SOF/RBV). This retrospective analysis reviewed the work completed by the clinical pharmacist in order to measure the aims identified for the study. The number and type of DDIs identified were summarized with descriptive statistics. RESULTS Six hundred and sixty four patients (83.4% Caucasian, 57% male, average 56.7 years old) were identified; 369 for LDV/SOF, 48 for OBV/PTV/r + DSV, 114 for SIM/SOF, and 133 for SOF/RBV. Fifty-one point five per cent of patients were cirrhotic. Overall, 5217 medications were reviewed (7.86 medications per patient) and 781 interactions identified (1.18 interactions per patient). The number of interactions were fewest for SOF/RBV (0.17 interactions per patient) and highest for OBV/PTV/r + DSV (2.48 interactions per patient). LDV/SOF and SIM/SOF had similar number of interactions (1.28 and 1.48 interactions per patient, respectively). Gastric acid modifiers and vitamin/herbal supplements commonly caused interactions with LDV/SOF. Hypertensive agents, analgesics, and psychiatric medications frequently caused interactions with OBV/PTV/r + DSV and SIM/SOF. To manage these interactions, the pharmacists most often recommended discontinuing the medication (28.9%), increasing monitoring for toxicities (24.1%), or separating administration times (18.2%). The pharmacist chart review for each patient usually took approximately 30 min, with additional time for more complex

  17. Potential food-drug interactions in long-term care.

    PubMed

    Anderson, Judy K; Fox, Jodie R

    2012-04-01

    Medication administration at mealtimes may result in food-drug interactions. Older adults are especially at risk of food-drug interactions leading to adverse drug effects and subtherapeutic responses. Research on potential food-drug interactions is limited and dated. This study examined the frequency of potential food-drug interactions in long-term care. Forty-nine percent of drugs administered at mealtimes had potential for interaction, with cardiovascular medications given most frequently. The frequency of potential interactions makes this phenomenon critically important to review. Collaboration between nurses and pharmacists may identify optimal medication scheduling. Nurses can enhance care by identifying strategies to limit interactions through knowledge and creative, collaborative administration schedules.

  18. Drug interactions associated with HAART: focus on treatments for addiction and recreational drugs.

    PubMed

    Faragon, John J; Piliero, Peter J

    2003-09-01

    The advent of HAART has improved survival in patients infected with HIV; however, treatment is complicated by potential drug interactions. The risk of drug interactions is compounded by the use of additional therapies for comorbid conditions, such as substance abuse, and by the use of recreational drugs. HIV health care providers should be aware of the potential interaction of recreational drugs and addiction treatments with HAART because of the potential for significant adverse effects for their HIV-infected patients. This article provides a review of the literature on drug interactions among addiction therapies, recreational drugs, and HAART.

  19. Evaluation of the performance of drug-drug interaction screening software in community and hospital pharmacies.

    PubMed

    Abarca, Jacob; Colon, Lisa R; Wang, Victoria S; Malone, Daniel C; Murphy, John E; Armstrong, Edward P

    2006-06-01

    Computerized drug-drug interaction (DDI) screening is widely used to identify potentially harmful drug combinations in the inpatient and outpatient setting. To evaluate the performance of drug-drug interaction (DDI) screening software in identifying select clinically significant DDIs in pharmacy computer systems in community and hospital pharmacies. Ten community pharmacies and 10 hospital pharmacies in the Tucson metropolitan area were invited to participate in the study in 2004. To test the performance of each of the systems used by the pharmacies, 25 medications were used to create 6 mock patient profiles containing 37 drug-drug pairs, 16 of which are clinically meaningful DDIs that pose a potential risk to patient safety. Each profile was entered into the computer pharmacy system, and the system response in terms of the presence or absence of a DDI alert was recorded for each drug pair. The percentage of correct responses and the sensitivity, specificity, positive predictive value, and negative predictive value of each system to correctly classify each drug pair as a DDI or not was calculated. Summary statistics of these measures were calculated separately for community and hospital pharmacies. Eight community pharmacies and 5 hospital pharmacies in the Tucson metropolitan area agreed to participate in the study. The median sensitivity and median specificity for community pharmacies was 0.88 (range, 0.81-0.94) and 0.91 (range, 0.67-1.00), respectively. For hospital pharmacies, the median sensitivity and median specificity was 0.38 (range, 0.15-0.94) and 0.95 (range, 0.81-0.95), respectively. Based on this convenience sample of 8 community pharmacies and 5 hospital pharmacies in 1 metropolitan area, the performance of community pharmacy computer systems in screening DDIs appears to have improved over the last several years compared with research published previously in 2001. However, significant variation remains in the performance of hospital pharmacy computer

  20. Interaction Patterns among Drug Dealers. Drug Abuse Information Research Project.

    ERIC Educational Resources Information Center

    Atkyns, Robert L.; Hanneman, Gerhard J.

    Drug dealers are often popularly stereotyped as "pushers" who actively engage in enticing young people into the drug habit, but there have been no scientific studies of their behavior or their attitudes on drug abuse or public health. In an attempt to gain information about behavior characteristics and communication patterns of middle…

  1. Adverse drug interactions involving common prescription and over-the-counter analgesic agents.

    PubMed

    Hersh, Elliot V; Pinto, Andres; Moore, Paul A

    2007-01-01

    Eight analgesic preparations with approved indications for acute pain were among the top 200 drugs prescribed in the United States in 2006. In addition, an estimated 36 million Americans use over-the-counter (OTC) analgesics daily. Given this volume of use, it is not surprising that a number of drug interactions involving analgesic drugs have been reported. This article examines the pharmacologic factors that enhance the clinical relevance of potential drug interactions and reviews the literature on drug interactions involving the most commonly used analgesic preparations in the United States. A PubMed search was conducted for English-language articles published between January 1967 and July 2007. Among the search terms were drug interactions, acetaminophen, aspirin, ibuprofen, naproxen, celecoxib, NSAIDs, hydrocodone, oxycodone, codeine, tramadol, OTC analgesics, alcohol, ethanol, antihypertensive drugs, methotrexate, warfarin, SSRIs, paroxetine, fluoxetine, sertraline, citalopram, serotonin syndrome, MAOIs, and overdose. Controlled clinical trials, case-control studies, and case reports were included in the review. A number of case reports and well-controlled clinical trials were identified that provided evidence of the relatively well known drug-drug interactions between prescription/OTC NSAIDs and alcohol, antihypertensive drugs, high-dose methotrexate, and lithium, as well as between frequently prescribed narcotics and other central nervous system depressants. In contrast, the ability of recent alcohol ingestion to exacerbate the hepatotoxic potential of therapeutic doses of acetaminophen is not supported by either case reports or clinical research. Use of ibuprofen according to OTC guidelines in patients taking cardioprotective doses of aspirin does not appear to interfere with aspirin's antiplatelet activity, whereas chronic prescription use of ibuprofen and other NSAIDs may interfere. Low-dose aspirin intake appears to abolish the gastroprotective effects

  2. Drug interaction studies on new drug applications: current situations and regulatory views in Japan.

    PubMed

    Nagai, Naomi

    2010-01-01

    Drug interaction studies on new drug applications (NDAs) for new molecular entities (NMEs) approved in Japan between 1997 and 2008 are examined in the Pharmaceuticals and Medical Devices Agency (PMDA). The situations of drug interaction studies in NDAs have changed over the past 12 years, especially in metabolizing enzyme and transporter-based drug interactions. Materials and approaches to study drug-metabolizing enzyme-based drug interactions have improved, and become more rational based on mechanistic theory and new technologies. On the basis of incremental evidence of transporter roles in human pharmacokinetics, transporter-based drug interactions have been increasingly studied during drug development and submitted in recent NDAs. Some recently approved NMEs include transporter-based drug interaction information in their package inserts (PIs). The regulatory document "Methods of Drug Interaction Studies," in addition to recent advances in science and technology, has also contributed to plan and evaluation of drug interaction studies in recent new drug development. This review summarizes current situations and further discussion points on drug interaction studies in NDAs in Japan.

  3. Interaction of innovative small molecule drugs used for cancer therapy with drug transporters

    PubMed Central

    Mandery, K; Glaeser, H; Fromm, MF

    2012-01-01

    Multiple new small molecules such as tyrosine kinase, mammalian target of rapamycin (mTOR) and proteasome inhibitors have been approved in the last decade and are a considerable progress for cancer therapy. Drug transporters are important determinants of drug concentrations in the systemic circulation. Moreover, expression of drug transporters in blood–tissue barriers (e.g. blood–brain barrier) can limit access of small molecules to the tumour (e.g. brain tumour). Finally, transporter expression and (up)regulation in the tumour itself is known to affect local drug concentrations in the tumour tissue contributing to multidrug resistance observed for multiple anticancer agents. This review summarizes the current knowledge on: (i) small molecules as substrates of uptake and efflux transporters; (ii) the impact of transporter deficiency in knockout mouse models on plasma and tissue concentrations; (iii) small molecules as inhibitors of uptake and efflux transporters with possible consequences for drug–drug interactions and the reversal of multidrug resistance; and (iv) on clinical studies investigating the association of polymorphisms in genes encoding drug transporters with pharmacokinetics, outcome and toxicity during treatment with the small molecules. PMID:21827448

  4. The clinical significance of drug craving.

    PubMed

    Tiffany, Stephen T; Wray, Jennifer M

    2012-02-01

    Although drug craving has received considerable research attention over the past several decades, to date there has been no systematic review of the general clinical significance of craving. This paper presents an overview of measurement issues of particular relevance to a consideration of use of craving in clinical settings. The paper then considers the relevance of craving across a broad array of clinical domains, including diagnosis, prognostic utility, craving as an outcome measure, and the potential value of craving as a direct target of intervention. The paper is both descriptive and prescriptive, informed by the current state of the science on craving with recommendations for the definition of craving, assessment practices, future research, and clinical applications. We conclude that craving has considerable utility for diagnosis and as a clinical outcome, and that findings from future research will likely expand the clinical potential of the craving construct in the domains of prognosis and craving as a treatment target. © 2012 New York Academy of Sciences.

  5. Updates on the Clinical Evidenced Herb-Warfarin Interactions

    PubMed Central

    Ge, Beikang; Zhang, Zhen; Zuo, Zhong

    2014-01-01

    Increasing and inadvertent use of herbs makes herb-drug interactions a focus of research. Concomitant use of warfarin, a highly efficacious oral anticoagulant, and herbs causes major safety concerns due to the narrow therapeutic window of warfarin. This paper presents an update overview of clinical findings regarding herb-warfarin interaction, highlighting clinical outcomes, severity of documented interactions, and quality of clinical evidence. Among thirty-eight herbs, Cannabis, Chamomile, Cranberry, Garlic, Ginkgo, Grapefruit, Lycium, Red clover, and St. John's wort were evaluated to have major severity interaction with warfarin. Herbs were also classified on account of the likelihood of their supporting evidences for interaction. Four herbs were considered as highly probable to interact with warfarin (level I), three were estimated as probable (level II), and ten and twenty-one were possible (level III) and doubtful (level IV), respectively. The general mechanism of herb-warfarin interaction almost remains unknown, yet several pharmacokinetic and pharmacodynamic factors were estimated to influence the effectiveness of warfarin. Based on limited literature and information reported, we identified corresponding mechanisms of interactions for a small amount of “interacting herbs.” In summary, herb-warfarin interaction, especially the clinical effects of herbs on warfarin therapy should be further investigated through multicenter studies with larger sample sizes. PMID:24790635

  6. Drug hypersensitivity: pharmacogenetics and clinical syndromes.

    PubMed

    Phillips, Elizabeth J; Chung, Wen-Hung; Mockenhaupt, Maja; Roujeau, Jean-Claude; Mallal, Simon A

    2011-03-01

    Severe cutaneous adverse reactions include syndromes such as drug reaction with eosinophilia and systemic symptoms (DRESS) or drug-induced hypersensitivity syndrome (DIHS) and Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN). An important advance has been the discovery of associations between HLA alleles and many of these syndromes, including abacavir-associated hypersensitivity reaction, allopurinol-associated DRESS/DIHS and SJS/TEN, and SJS/TEN associated with aromatic amine anticonvulsants. These HLA associations have created the promise for prevention through screening and have additionally shed further light on the immunopathogenesis of severe cutaneous adverse reactions. The rollout of HLA-B∗5701 into routine clinical practice as a genetic screening test to prevent abacavir hypersensitivity provides a translational roadmap for other drugs. Numerous hurdles exist in the widespread translation of several other drugs, such as carbamazepine, in which the positive predictive value of HLA-B∗1502 is low and the negative predictive value of HLA-B∗1502 for SJS/TEN might not be 100% in all ethnic groups. International collaborative consortia have been formed with the goal of developing phenotypic standardization and undertaking HLA and genome-wide analyses in diverse populations with these syndromes.

  7. Drug Hypersensitivity: Pharmacogenetics and Clinical Syndromes

    PubMed Central

    Phillips, Elizabeth J.; Chung, Wen-Hung; Mockenhaupt, Maja; Roujeau, Jean-Claude; Mallal, Simon A.

    2011-01-01

    Severe cutaneous adverse reactions (SCARs) include syndromes such as drug reaction, eosinophilia and systemic symptoms (DRESS) or drug-induced hypersensitivity syndrome (DIHS) and Stevens-Johnson Syndrome/Toxic epidermal necrolysis (SJS/TEN). An important advance has been the discovery of associations between HLA alleles and many of these syndromes including abacavir hypersensitivity reaction, allopurinol DRESS/DIHS and SJS/TEN and SJS/TEN associated with aromatic amine anticonvulsants. These HLA associations have created the promise for prevention through screening and have additionally shed further light on the immunopathogenesis of SCARs. The roll-out of HLA-B*5701 into routine clinical practice as a genetic screening test to prevent abacavir hypersensitivity provides a translational roadmap for other drugs. Numerous hurdles exist in the widespread translation of several other drugs such as carbamazepine where the positive predictive value of HLA-B*1502 is low and the negative predictive value of HLA-B*1502 for SJS/TEN may not be 100% in all ethnic groups. International collaborative consortia have been formed with the goal of developing phenotype standardization and undertaking HLA and genome-wide analyses in diverse populations with these syndromes. PMID:21354501

  8. Evaluation of drug-drug interactions with fesoterodine.

    PubMed

    Malhotra, Bimal; Sachse, Richard; Wood, Nolan

    2009-06-01

    To assess drug-drug interactions of fesoterodine with cytochrome P450 (CYP) 3A4 inhibitor (ketoconazole), inducer (rifampicin), and substrates (ethinylestradiol and levonorgestrel). Effects of ketoconazole 200 mg twice daily and rifampicin 600 mg twice daily on fesoterodine 8 mg once daily were investigated in CYP2D6 extensive metabolizers (EMs) and poor metabolizers (PMs) based on 5-hydroxymethyl tolterodine (5-HMT) pharmacokinetics (principal active fesoterodine metabolite and CYP3A4 substrate). Effects of fesoterodine 8 mg versus placebo once daily on ethinylestradiol and levonorgestrel were investigated based on oral contraceptive pharmacokinetics and on pharmacodynamic effects on progesterone, luteinizing hormone, follicle-stimulating hormone, and estradiol plasma levels. Compared with fesoterodine alone, coadministration of fesoterodine with ketoconazole resulted in increases in mean 5-HMT maximum concentration in plasma (C(max); from 3.0 to 6.0 ng/mL in EMs and from 6.4 to 13.4 ng/mL in PMs) and mean area under the plasma concentration time curve (AUC; from 38.2 to 88.3 ng h/mL in EMs and 88.3 to 217.2 ng h/mL in PMs). Coadministration of festerodine with rifampicin resulted in decreases in mean 5-HMT C(max) (from 5.2 to 1.5 ng/mL in EMs and from 6.8 to 1.9 ng/mL in PMs) and mean AUC (from 62.4 to 14.4 ng h/mL in EMs and from 87.8 to 19.6 ng h/mL in PMs). Fesoterodine did not affect oral contraceptive pharmacokinetics or pharmacodynamics or the suppression of ovulation. Fesoterodine dosage should not exceed 4 mg once daily when taken concomitantly with potent CYP3A4 inhibitors. Coadministration of CYP3A4 inducers with fesoterodine may produce subtherapeutic 5-HMT exposures. No dose adjustment is necessary for concomitant use of fesoterodine with oral contraceptives.

  9. The Utility of a Population Approach in Drug-Drug Interaction Assessments: A Simulation Evaluation.

    PubMed

    Wang, Diane D; Yu, Yanke; Kassir, Nastya; Zhu, Min; Hanley, William D; Earp, Justin C; Chow, Andrew T; Gupta, Manish; Hu, Chuanpu

    2017-10-01

    This study aims at evaluating the utility of the population pharmacokinetics approach in therapeutic protein drug-drug-interaction (DDI) assessment. Simulations were conducted for 2 representative victim drugs, methotrexate and trastuzumab, using a parallel-group design with and without the interaction drug. The effect of a perpetrator on the exposure of the victim drug is described as the ratio of clearance/apparent clearance of the victim drug given with or without the perpetrator. The power of DDI assessment was calculated as the percentage of runs with 90% confidence interval of the estimated DDI effect within 80% to 125% for the scenarios of no DDI, benchmarked with the noncompartmental approach with intensive sampling. The impact of the number of subjects, the number of sampling points per subject, sampling time error, and model misspecification on the power of DDI determination were evaluated. Results showed that with equal numbers of subjects in each arm, the population pharmacokinetics approach with sparse sampling may need about the same or a higher number of subjects compared to a noncompartmental approach in order to achieve similar power. Increasing the number of subjects, even if only in the study drug alone arm, can increase the power. Sampling or dosing time error had notable impacts on the power for methotrexate but not for trastuzumab. Model misspecification had no notable impacts on the power for trastuzumab. Overall, the population pharmacokinetics approach with sparse sampling built in phase 2/3 studies allows appropriate DDI assessment with adequate study design and analysis and can be considered as an alternative to dedicated DDI studies. © 2017, The American College of Clinical Pharmacology.

  10. [Drug-food interactions in internal medicine: What physicians should know?].

    PubMed

    Mouly, S; Morgand, M; Lopes, A; Lloret-Linares, C; Bergmann, J-F

    2015-08-01

    Orally administered medications may interact with various fruits, vegetables, herbal medicines, functional foods or dietary supplements. Drug-food interactions, which are mostly unknown from prescribers, including internists, may be responsible for changes in drug plasma concentrations, which may decrease efficacy or led to sometimes life-threatening toxicity. Aging, concomitant medications, transplant recipients, patients with cancer, malnutrition, HIV infection and those receiving enteral or parenteral feeding are at increased risk of drug-food interactions. This review focused on the most clinically relevant drug-food interactions, including those with grapefruit juice, Saint-John's Wort, enteral or parenteral nutrition, their respective consequences in the clinical setting in order to provide thoughtful information for internists in their routine clinical practice. Specific clinical settings are also detailed, such as the Ramadan or multiple medications especially in elderly patients. Drug-food interactions are also presented with respect to the main therapeutic families, including the non-steroidal anti-inflammatory drugs, analgesics, cardiovascular medications, warfarin as well as new oral anticoagulants, anticancer drugs and immunosuppressant medications. Considerable effort has been achieved to a better understanding of food-drug interactions and increase clinicians' ability to anticipate their occurrence and consequences in clinical practice. Describing the frequency of relevant food-drug interactions in internal medicine is paramount in order to optimize patient care and drug dosing on an individual basis as well as to increase patients and doctors information. Copyright © 2015 Société nationale française de médecine interne (SNFMI). Published by Elsevier SAS. All rights reserved.

  11. Distinct properties of telmisartan on agonistic activities for peroxisome proliferator-activated receptor γ among clinically used angiotensin II receptor blockers: drug-target interaction analyses.

    PubMed

    Kakuta, Hirotoshi; Kurosaki, Eiji; Niimi, Tatsuya; Gato, Katsuhiko; Kawasaki, Yuko; Suwa, Akira; Honbou, Kazuya; Yamaguchi, Tomohiko; Okumura, Hiroyuki; Sanagi, Masanao; Tomura, Yuichi; Orita, Masaya; Yonemoto, Takako; Masuzaki, Hiroaki

    2014-04-01

    A proportion of angiotensin II type 1 receptor blockers (ARBs) improves glucose dyshomeostasis and insulin resistance in a clinical setting. Of these ARBs, telmisartan has the unique property of being a partial agonist for peroxisome proliferator-activated receptor γ (PPARγ). However, the detailed mechanism of how telmisartan acts on PPARγ and exerts its insulin-sensitizing effect is poorly understood. In this context, we investigated the agonistic activity of a variety of clinically available ARBs on PPARγ using isothermal titration calorimetry (ITC) and surface plasmon resonance (SPR) system. Based on physicochemical data, we then reevaluated the metabolically beneficial effects o