Literature DB >> 17289297

A behavioral economic measure of demand for alcohol predicts brief intervention outcomes.

James MacKillop1, James G Murphy.   

Abstract

Considerable basic and clinical research supports a behavioral economic conceptualization of alcohol and drug dependence. One behavioral economic approach to assess motivation for a drug is the use of demand curves, or quantitative representations of drug consumption and drug-reinforced responding across a range of prices. This study used a hypothetical alcohol purchase task to generate demand curves, and examined whether the resulting demand curve parameters predicted drinking outcomes following a brief intervention. Participants were 51 college student drinkers (67% female; 94% Caucasian; drinks/week: M=24.57, S.D.=8.77) who completed a brief alcohol intervention. Consistent with predictions, a number of demand curve indices significantly predicted post-intervention alcohol use and frequency of heavy drinking episodes, even after controlling for baseline drinking and other pertinent covariates. Most prominently, O(max) (i.e., maximum alcohol expenditure) and breakpoint (i.e., sensitivity of consumption to increasing price) predicted greater drinking at 6-month post-intervention follow-up. These results indicate that a behavioral economic measure of alcohol demand may have utility in characterizing the malleability of alcohol consumption. Moreover, these results support the utility of translating experimental assays of reinforcement into clinical research.

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Year:  2007        PMID: 17289297     DOI: 10.1016/j.drugalcdep.2007.01.002

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  113 in total

1.  Temporal stability of a cigarette purchase task.

Authors:  Lauren R Few; John Acker; Cara Murphy; James MacKillop
Journal:  Nicotine Tob Res       Date:  2011-12-09       Impact factor: 4.244

2.  Behavioral economic analysis of withdrawal- and cue-elicited craving for tobacco: an initial investigation.

Authors:  James MacKillop; Courtney L Brown; Monika K Stojek; Cara M Murphy; Lawrence Sweet; Ray S Niaura
Journal:  Nicotine Tob Res       Date:  2012-03-13       Impact factor: 4.244

Review 3.  Human laboratory paradigms in alcohol research.

Authors:  Jennifer G Plebani; Lara A Ray; Meghan E Morean; William R Corbin; James MacKillop; Michael Amlung; Andrea C King
Journal:  Alcohol Clin Exp Res       Date:  2012-02-06       Impact factor: 3.455

4.  Latent factor structure of a behavioral economic cigarette demand curve in adolescent smokers.

Authors:  L Cinnamon Bidwell; James MacKillop; James G Murphy; Jennifer W Tidey; Suzanne M Colby
Journal:  Addict Behav       Date:  2012-06-13       Impact factor: 3.913

5.  Predictive Validity of a Cigarette Purchase Task in a Randomized Controlled Trial of Contingent Vouchers for Smoking in Individuals With Substance Use Disorders.

Authors:  James Mackillop; Cara M Murphy; Rosemarie A Martin; Monika Stojek; Jennifer W Tidey; Suzanne M Colby; Damaris J Rohsenow
Journal:  Nicotine Tob Res       Date:  2015-10-24       Impact factor: 4.244

6.  Pilot trial investigating a brief behavioral economic intervention as an adjunctive treatment for alcohol use disorder.

Authors:  Lidia Z Meshesha; Kathryn E Soltis; Edward A Wise; Damaris J Rohsenow; Katie Witkiewitz; James G Murphy
Journal:  J Subst Abuse Treat       Date:  2020-03-19

7.  Implicit and explicit alcohol-related motivations among college binge drinkers.

Authors:  Laura C Herschl; Dennis E McChargue; James MacKillop; Scott F Stoltenberg; Krista B Highland
Journal:  Psychopharmacology (Berl)       Date:  2012-01-27       Impact factor: 4.530

8.  Elevated Behavioral Economic Demand for Alcohol in a Community Sample of Heavy Drinking Smokers.

Authors:  Michael Amlung; James MacKillop; Peter M Monti; Robert Miranda
Journal:  J Stud Alcohol Drugs       Date:  2017-05       Impact factor: 2.582

9.  The neuroeconomics of alcohol demand: an initial investigation of the neural correlates of alcohol cost-benefit decision making in heavy drinking men.

Authors:  James MacKillop; Michael T Amlung; John Acker; Joshua C Gray; Courtney L Brown; James G Murphy; Lara A Ray; Lawrence H Sweet
Journal:  Neuropsychopharmacology       Date:  2014-03-03       Impact factor: 7.853

10.  Demand curves for hypothetical cocaine in cocaine-dependent individuals.

Authors:  Natalie R Bruner; Matthew W Johnson
Journal:  Psychopharmacology (Berl)       Date:  2013-11-12       Impact factor: 4.530

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