Literature DB >> 10541773

Drug-drug interactions of new active substances: mibefradil example.

J C Krayenbühl1, S Vozeh, M Kondo-Oestreicher, P Dayer.   

Abstract

INTRODUCTION: Mibefradil was approved as a novel calcium antagonist in Switzerland in 1996. Following its launch as an antihypertensive and anti-anginal agent, there were reports about serious pharmacokinetic and pharmacodynamic interactions occurring with other drugs frequently administered to patients with cardiovascular diseases. Despite appropriate modifications of the prescribing information, such interactions continued to occur. The drug was finally withdrawn after a study in patients with congestive heart failure showed a trend to higher mortality with mibefradil. This increase in mortality could again be due to multiple interactions between mibefradil and other drugs. In retrospect, it can be concluded that several of the interactions, including the theoretical risk of severe toxicity in some patients, could have been and in fact were predicted on the basis of the data available before introduction to the market. Depending on the benefits, these problems would however not necessarily represent an unacceptable risk for a new active compound. RESULTS AND
CONCLUSION: The most important points revealed by this analysis were: (1) when interpreting the results of interaction studies, it is important to consider not only the mean of the interaction effect but also the observed and the theoretically conceivable extreme effects in individual subjects and (2) a drug with a high interaction potential may represent a high risk even if an adequate warning is included in the product information. The need for specific pharmacokinetic and pharmacodynamic interaction studies with new drugs and the limitations of the pivotal clinical efficacy and safety studies during phase III in order to reveal such interactions are discussed.

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Year:  1999        PMID: 10541773     DOI: 10.1007/s002280050673

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  20 in total

1.  Pharmacokinetic and pharmacodynamic assessment of a five-probe metabolic cocktail for CYPs 1A2, 3A4, 2C9, 2D6 and 2E1.

Authors:  G E Blakey; J A Lockton; J Perrett; P Norwood; M Russell; Z Aherne; J Plume
Journal:  Br J Clin Pharmacol       Date:  2004-02       Impact factor: 4.335

2.  Assessment of potential drug interactions by characterization of human drug metabolism pathways using non-invasive bile sampling.

Authors:  Jackie C Bloomer; Mike Nash; Alison Webb; Bruce E Miller; Aili L Lazaar; Claire Beaumont; William J Guiney
Journal:  Br J Clin Pharmacol       Date:  2013-02       Impact factor: 4.335

3.  Molecular pharmacology of human Cav3.2 T-type Ca2+ channels: block by antihypertensives, antiarrhythmics, and their analogs.

Authors:  Edward Perez-Reyes; Amy L Van Deusen; Iuliia Vitko
Journal:  J Pharmacol Exp Ther       Date:  2008-10-30       Impact factor: 4.030

4.  Predictions of metabolic drug-drug interactions using physiologically based modelling: Two cytochrome P450 3A4 substrates coadministered with ketoconazole or verapamil.

Authors:  Nathalie Perdaems; Helene Blasco; Cedric Vinson; Marylore Chenel; Sarah Whalley; Fanny Cazade; François Bouzom
Journal:  Clin Pharmacokinet       Date:  2010-04       Impact factor: 6.447

5.  Implications of intercorrelation between hepatic CYP3A4-CYP2C8 enzymes for the evaluation of drug-drug interactions: a case study with repaglinide.

Authors:  Kosuke Doki; Adam S Darwich; Brahim Achour; Aleksi Tornio; Janne T Backman; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2018-03-06       Impact factor: 4.335

6.  Development of a generalized, quantitative physicochemical model of CYP3A4 inhibition for use in early drug discovery.

Authors:  R J Riley; A J Parker; S Trigg; C N Manners
Journal:  Pharm Res       Date:  2001-05       Impact factor: 4.200

7.  Quantitative drug interactions prediction system (Q-DIPS): a dynamic computer-based method to assist in the choice of clinically relevant in vivo studies.

Authors:  P Bonnabry; J Sievering; T Leemann; P Dayer
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

8.  An improved substrate cocktail for assessing direct inhibition and time-dependent inhibition of multiple cytochrome P450s.

Authors:  Zhong-Hua Chen; Su-Xing Zhang; Na Long; Li-Shan Lin; Tao Chen; Fei-Peng Zhang; Xue-Qin Lv; Pei-Zhen Ye; Ning Li; Ke-Zhi Zhang
Journal:  Acta Pharmacol Sin       Date:  2016-04-11       Impact factor: 6.150

9.  Drug-drug interaction predictions with PBPK models and optimal multiresponse sampling time designs: application to midazolam and a phase I compound. Part 2: clinical trial results.

Authors:  Marylore Chenel; François Bouzom; Fanny Cazade; Kayode Ogungbenro; Leon Aarons; France Mentré
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-01-07       Impact factor: 2.745

Review 10.  Predicting the clinical relevance of drug interactions from pre-approval studies.

Authors:  Silvio Caccia; Silvio Garattini; Luca Pasina; Alessandro Nobili
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

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