Literature DB >> 12850771

Biological markers of cocaine addiction: implications for medications development.

Ahmed Elkashef1, Frank Vocci.   

Abstract

The search for effective medications for cocaine addiction has been elusive. The failure to find such medications so far could be due to poor understanding of the underlying biology both in the premorbid condition and following the disease state of chronic cocaine use. Population heterogeneity could be a major factor in response to medications. In an attempt to highlight the issue of biomarkers we reviewed physiological, neuroendocrine and neuroimaging studies to identify specific biological changes/markers that could be used to characterize subgroups among chronic cocaine users. Merging the biology within medications studies of cocaine abusers could prove useful for targeting specific pharmacological agents to subgroups of patients, prediction of response to medication and relapse to use.

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Year:  2003        PMID: 12850771     DOI: 10.1080/1355621031000117356

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  10 in total

1.  Bayesian neural adjustment of inhibitory control predicts emergence of problem stimulant use.

Authors:  Katia M Harlé; Jennifer L Stewart; Shunan Zhang; Susan F Tapert; Angela J Yu; Martin P Paulus
Journal:  Brain       Date:  2015-09-03       Impact factor: 13.501

Review 2.  Effect of cocaine dependence on brain connections: clinical implications.

Authors:  Liangsuo Ma; Joel L Steinberg; F Gerard Moeller; Sade E Johns; Ponnada A Narayana
Journal:  Expert Rev Neurother       Date:  2015-10-29       Impact factor: 4.618

3.  Young adults at risk for stimulant dependence show reward dysfunction during reinforcement-based decision making.

Authors:  Jennifer L Stewart; Taru M Flagan; April C May; Martina Reske; Alan N Simmons; Martin P Paulus
Journal:  Biol Psychiatry       Date:  2012-09-26       Impact factor: 13.382

4.  Altered neural processing of the need to stop in young adults at risk for stimulant dependence.

Authors:  Katia M Harlé; Pradeep Shenoy; Jennifer L Stewart; Susan F Tapert; Angela J Yu; Martin P Paulus
Journal:  J Neurosci       Date:  2014-03-26       Impact factor: 6.167

Review 5.  Predicting treatment outcome in stimulant dependence.

Authors:  Martina Reske; Martin P Paulus
Journal:  Ann N Y Acad Sci       Date:  2008-10       Impact factor: 5.691

6.  Brain mu-opioid receptor binding: relationship to relapse to cocaine use after monitored abstinence.

Authors:  David A Gorelick; Yu Kyeong Kim; Badreddine Bencherif; Susan J Boyd; Richard Nelson; Marc L Copersino; Robert F Dannals; J James Frost
Journal:  Psychopharmacology (Berl)       Date:  2008-09-02       Impact factor: 4.530

7.  Evaluation of heterogeneity in pharmacotherapy trials for drug dependence: a Bayesian approach.

Authors:  C E Green; F G Moeller; J M Schmitz; J F Lucke; S D Lane; A C Swann; R E Lasky; J P Carbonari
Journal:  Am J Drug Alcohol Abuse       Date:  2009       Impact factor: 3.829

Review 8.  Pharmacotherapeutics for substance-use disorders: a focus on dopaminergic medications.

Authors:  Christopher D Verrico; Colin N Haile; Thomas F Newton; Thomas R Kosten; Richard De La Garza; Richard De La Garza
Journal:  Expert Opin Investig Drugs       Date:  2013-09-14       Impact factor: 6.206

Review 9.  Use of stimulants to treat cocaine and methamphetamine abuse.

Authors:  F Gerard Moeller; Joy M Schmitz; David Herin; Kimberly L Kjome
Journal:  Curr Psychiatry Rep       Date:  2008-10       Impact factor: 8.081

10.  Combination of Modafinil and d-amphetamine for the Treatment of Cocaine Dependence: A Preliminary Investigation.

Authors:  Joy M Schmitz; Nuvan Rathnayaka; Charles E Green; F Gerard Moeller; Anne E Dougherty; John Grabowski
Journal:  Front Psychiatry       Date:  2012-08-30       Impact factor: 4.157

  10 in total

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