Literature DB >> 18584566

Pharmacogenetic treatments for drug addiction: alcohol and opiates.

Colin N Haile1, Therese A Kosten, Thomas R Kosten.   

Abstract

AIMS: Psychiatric pharmacogenetics involves the use of genetic tests that can predict the effectiveness of treatments for individual patients with mental illness such as drug dependence. This review aims to cover these developments in the pharmacotherapy of alcohol and opiates, two addictive drugs for which we have the majority of our FDA approved pharmacotherapies.
METHODS: We conducted a literature review using Medline searching terms related to these two drugs and their pharmacotherapies crossed with related genetic studies.
RESULTS: Alcohol's physiological and subjective effects are associated with enhanced beta-endorphin release. Naltrexone increases baseline beta-endorphin release blocking further release by alcohol. Naltrexone's action as an alcohol pharmacotherapy is facilitated by a putative functional single nucleotide polymorphism (SNP) in the opioid mu receptor gene (Al18G) which alters receptor function. Patients with this SNP have significantly lower relapse rates to alcoholism when treated with naltrexone. Caucasians with various forms of the CYP2D6 enzyme results in a 'poor metabolizer' phenotype and appear to be protected from developing opioid dependence. Others with a "ultra-rapid metabolizer" phenotype do poorly on methadone maintenance and have frequent withdrawal symptoms. These patients can do well using buprenorphine because it is not significantly metabolized by CYP2D6.
CONCLUSIONS: Pharmacogenetics has great potential for improving treatment outcome as we identify gene variants that affect pharmacodynamic and pharmacokinetic factors. These mutations guide pharmacotherapeutic agent choice for optimum treatment of alcohol and opiate abuse and subsequent relapse.

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Year:  2008        PMID: 18584566     DOI: 10.1080/00952990802122564

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  23 in total

1.  Dopaminergic reward system: a short integrative review.

Authors:  Oscar Arias-Carrión; Maria Stamelou; Eric Murillo-Rodríguez; Manuel Menéndez-González; Ernst Pöppel
Journal:  Int Arch Med       Date:  2010-10-06

2.  Improving temporal efficiency of outpatient buprenorphine induction.

Authors:  Erik W Gunderson; Frances R Levin; Margaret M Rombone; Suzanne K Vosburg; Herbert D Kleber
Journal:  Am J Addict       Date:  2011-07-18

3.  The κ-opioid receptor gene as a predictor of response in a cocaine vaccine clinical trial.

Authors:  David A Nielsen; Sara C Hamon; Thomas R Kosten
Journal:  Psychiatr Genet       Date:  2013-12       Impact factor: 2.458

Review 4.  Pharmacogenetic treatments for drug addiction: cocaine, amphetamine and methamphetamine.

Authors:  Colin N Haile; Thomas R Kosten; Therese A Kosten
Journal:  Am J Drug Alcohol Abuse       Date:  2009       Impact factor: 3.829

Review 5.  Search for genetic markers and functional variants involved in the development of opiate and cocaine addiction and treatment.

Authors:  Vadim Yuferov; Orna Levran; Dmitri Proudnikov; David A Nielsen; Mary Jeanne Kreek
Journal:  Ann N Y Acad Sci       Date:  2010-02       Impact factor: 5.691

Review 6.  Breaking barriers in the genomics and pharmacogenetics of drug addiction.

Authors:  M K Ho; D Goldman; A Heinz; J Kaprio; M J Kreek; M D Li; M R Munafò; R F Tyndale
Journal:  Clin Pharmacol Ther       Date:  2010-10-27       Impact factor: 6.875

Review 7.  Animal models for medications development targeting alcohol abuse using selectively bred rat lines: neurobiological and pharmacological validity.

Authors:  Richard L Bell; Helen J K Sable; Giancarlo Colombo; Petri Hyytia; Zachary A Rodd; Lawrence Lumeng
Journal:  Pharmacol Biochem Behav       Date:  2012-07-25       Impact factor: 3.533

Review 8.  Advancing addiction treatment: what can we learn from animal studies?

Authors:  Peter H Wu; Kalynn M Schulz
Journal:  ILAR J       Date:  2012

Review 9.  OPRM1 SNP (A118G): involvement in disease development, treatment response, and animal models.

Authors:  Stephen D Mague; Julie A Blendy
Journal:  Drug Alcohol Depend       Date:  2010-01-13       Impact factor: 4.492

10.  Perceptions of genetic testing and genomic medicine among drug users.

Authors:  David C Perlman; Camila Gelpí-Acosta; Samuel R Friedman; Ashly E Jordan; Holly Hagan
Journal:  Int J Drug Policy       Date:  2014-06-24
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