Literature DB >> 11014409

In vivo drug-drug interaction studies--a survey of all new molecular entities approved from 1987 to 1997.

P J Marroum1, R S Uppoor, T Parmelee, F Ajayi, A Burnett, R Yuan, R Svadjian, L J Lesko, J D Balian.   

Abstract

Ninety-eight new molecular entities applications approved between 1987 to 1991 (period I) and 193 applications for new molecular entities between 1992 to 1997 (period II) were surveyed for drug-drug interaction studies. In period I (used as a comparator), 32 applications contained drug-drug interaction studies for a total of 117 studies. In period II, 106 applications reported drug-drug interaction studies, and the number of studies per new molecular entity ranged from 0 to 15. Most studies (77%) were performed in healthy subjects, with 44% using crossover designs, 7% using parallel designs, and the remaining using fixed sequence designs. The most common dosing scheme for new molecular entities/interacting drug was multiple dose (47%), whereas single dose/multiple dose was used in 31% of studies, and single dose/single dose was used in 18% of studies. Of the 540 drug-drug interaction studies submitted in period II, 80 (15%) resulted in clinically significant labeling statements. Submissions for new molecular entities to the Center for Drug Evaluation and Research divisions most likely to include drug-drug interaction studies were neuropharmacology, cardiorenal, antiviral, and antiinfective drugs. Some drug classes such as oncology drug products and radioimaging products were least likely to include drug-drug interaction studies in their submissions. We conclude that the use of drug-drug interaction studies in the drug development process has increased between the two periods.

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Year:  2000        PMID: 11014409     DOI: 10.1067/mcp.2000.109366

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  4 in total

Review 1.  Drug interactions update: drugs, herbs, and oral anticoagulation.

Authors:  A K Wittkowsky
Journal:  J Thromb Thrombolysis       Date:  2001-09       Impact factor: 2.300

2.  Power estimation using a population pharmacokinetics model with optimal design by clinical trial simulations: application in pharmacokinetic drug-drug interaction studies.

Authors:  Shuying Yang; Misba Beerahee
Journal:  Eur J Clin Pharmacol       Date:  2010-12-02       Impact factor: 2.953

3.  Semi-mechanistic population pharmacokinetic drug-drug interaction modelling of a long half-life substrate and itraconazole.

Authors:  Thorsten Lehr; Alexander Staab; Dirk Trommeshauser; Hans Guenter Schaefer; Charlotte Kloft
Journal:  Clin Pharmacokinet       Date:  2010       Impact factor: 6.447

Review 4.  Understanding and preventing drug-drug and drug-gene interactions.

Authors:  Cara Tannenbaum; Nancy L Sheehan
Journal:  Expert Rev Clin Pharmacol       Date:  2014-04-19       Impact factor: 5.045

  4 in total

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