Literature DB >> 8784647

Drug-drug interactions involving antidepressants: focus on venlafaxine.

L Ereshefsky1.   

Abstract

Selection of an antidepressant is influenced by many factors, including the patient's current drug regimen and the drug's potential for drug-drug interactions. Many psychotropic agents are known to be involved in drug-drug interactions because they are metabolized by various cytochrome pigment 450 (CYP) isoenzymes. In vitro testing with human hepatic microsomal preparations and monoclonal antibody techniques has allowed for the identification and investigation of many of these isoenzymes. Also, screening of substrates (both drug and probe) at the level of the various enzymes expressed in the human liver has allowed for the development of models that predict the risk for drug-drug interactions in vivo. Antidepressants are metabolized by and are competitive inhibitors of several isoenzymes: CYP1A2, CYP2D6, CYP3A3/4, CYP2C8/9, CYP2C19, and others. Of these, CYP2D6 has been the most thoroughly investigated and is the most extensively characterized, whereas CYP3A3/4 are more abundant and play a major role in the metabolism of many commonly used drugs. CYP2D6, but not CYP3A3/4, is subject to genetic polymorphism, which has been identified through the administration of a probe drug (sparteine, debrisoquin, or dextromethorphan). This analysis allows for the determination of an individual's "metabolizer status." This article discusses the CYP isoenzyme system in general terms and presents selected in vitro information that has been used to determine the likelihood of in vivo drug-drug interactions with various antidepressants. Of the marketed antidepressants, venlafaxine seems to have one of the most favorable drug-interaction profiles, and data specific to it are highlighted. In vitro and in vivo data indicate that venlafaxine either does not significantly inhibit or weakly inhibits the activity of isoenzymes CYP2C9, CYP2D6, CYP1A2, or CYP3A3/4.

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Year:  1996        PMID: 8784647     DOI: 10.1097/00004714-199606002-00009

Source DB:  PubMed          Journal:  J Clin Psychopharmacol        ISSN: 0271-0749            Impact factor:   3.153


  16 in total

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Review 2.  Third-generation antidepressants: do they offer advantages over the SSRIs?

Authors:  J S Olver; G D Burrows; T R Norman
Journal:  CNS Drugs       Date:  2001       Impact factor: 5.749

Review 3.  Metabolism of the newer antidepressants. An overview of the pharmacological and pharmacokinetic implications.

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Journal:  Clin Pharmacokinet       Date:  1998-04       Impact factor: 6.447

Review 4.  Mood disorders in patients with epilepsy: epidemiology and management.

Authors:  Cynthia L Harden; Martin A Goldstein
Journal:  CNS Drugs       Date:  2002       Impact factor: 5.749

Review 5.  Treatment of anxiety and depression in transplant patients: pharmacokinetic considerations.

Authors:  Catherine C Crone; Geoffrey M Gabriel
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

6.  Effects of gender and age on serum concentrations of antidepressants under naturalistic conditions.

Authors:  S Unterecker; P Riederer; F Proft; J Maloney; J Deckert; B Pfuhlmann
Journal:  J Neural Transm (Vienna)       Date:  2012-12-20       Impact factor: 3.575

Review 7.  Risk of adverse events with the use of augmentation therapy for the treatment of resistant depression.

Authors:  I Schweitzer; V Tuckwell
Journal:  Drug Saf       Date:  1998-12       Impact factor: 5.606

8.  Anxiety and Depression: Optimizing Treatments.

Authors:  James C. Ballenger
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2000-06

9.  Psychiatric and Somatic Markers of Anxiety: Identification and Pharmacologic Treatment.

Authors:  Alan J. Gelenberg
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2000-04

10.  A Review of the Diagnosis, Pharmacologic Treatment, and Economic Aspects of Anxiety Disorders.

Authors:  Steven R. Arikian; Jack M. Gorman
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2001-06
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