Evidence map›Paper›PMID 26993151›Full record

ReviewAlcoholism, clinical and experimental research2016

The Behavioral Economics and Neuroeconomics of Alcohol Use Disorders.

James MacKillop

Abstract readReview
In one paragraph

Review in Alcoholism, clinical and experimental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. A systematic review and meta-analysis of delay discounting and cannabis use.Experimental and clinical psychopharmacology · 2021
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  14. Event-level impacts of proximal responsibilities and impulsive traits on drinking behavior during real-world drinking episodes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

James MacKillopDepartment of Psychiatry and Behavioural Neurosciences, Peter Boris Centre for Addictions Research, McMaster University/St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.

Funding

Vulnerability to Drug Use & HIV: Advancing Prevention for Rural African AmericansP30DA027827 · NIDA · UNIVERSITY OF GEORGIA · PI BRODY, GENE H. · 2009 to 2018
$10.2M
The genetic basis of impulsive behavior in humansR01DA032015 · NIDA · UNIVERSITY OF CHICAGO · PI DE WIT, HARRIET · 2011 to 2015
$2.4M
Enhancing Alcoholism Pharmacotherapy Research via Behavioral EconomicsK23AA016936 · NIAAA · UNIVERSITY OF GEORGIA · PI MACKILLOP, JAMES · 2008 to 2012
$805k
Perceived alcohol reward value and risk: Neural correlates and treatment effectsR21AA023669 · NIAAA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KARNO, MITCHELL P, RAY, LARA A. · 2015 to 2016
$344k
NIAAA NIH HHS K23 AA016936NIAAA NIH HHS L30 AA015836NIAAA NIH HHS R21 AA023669NIAAA NIH HHS R21AA023669NIDA NIH HHS P30 DA027827NIDA NIH HHS R01 DA032015
6 · The paper itself

Abstract

backgroundBehavioral economics and neuroeconomics bring together perspectives and methods from psychology, economics, and cognitive neuroscience to understand decision making and choice behavior. Extending an operant behavioral theoretical framework, these perspectives have increasingly been applied to understand the alcohol use disorders (AUDs), and this review surveys the theory, methods, and findings from this approach. The focus is on 3 key behavioral economic concepts: delay discounting (i.e., preferences for smaller immediate rewards relative to larger delayed rewards), alcohol demand (i.e., alcohol's reinforcing value), and proportionate alcohol-related reinforcement (i.e., relative amount of psychosocial reinforcement associated with alcohol use).

findingsDelay discounting has been linked to AUDs in both cross-sectional and longitudinal studies and has been investigated cross-sectionally using neuroimaging. Alcohol demand and proportionate alcohol-related reinforcement have both been robustly associated with drinking and alcohol misuse cross-sectionally, but not over time. Both have also been found to predict treatment response to brief interventions. Alcohol demand has also been used to enhance the measurement of acute motivation for alcohol in laboratory studies. Interventions that focus on reducing the value of alcohol by increasing alternative reinforcement and response cost have been found to be efficacious, albeit in relatively small numbers of randomized controlled trials (RCTs). Mediators and moderators of response to these interventions have not been extensively investigated. FUTURE DIRECTIONS: The application of behavioral economics and neuroeconomics to AUDs has given rise to an extensive body of empirical work, although significant gaps in knowledge remain. In particular, there is a need for more longitudinal investigations to clarify the etiological roles of these behavioral economic processes, especially alcohol demand and proportionate alcohol reinforcement. Additional RCTs are needed to extend and generalize the findings for reinforcement-based interventions and to investigate mediators and moderators of treatment success for optimization. Applying neuroeconomics to AUDs remains at an early stage and has been primarily descriptive to date, but has high potential for important translational insights into the future. The same is true for using these behavioral economic indicators to understand genetic influences on AUDs.

Indexed as

Choice BehaviorDelay DiscountingAlcohol-Related DisordersCross-Sectional StudiesHumansMotivationRewardAlcoholAlcohol DemandBehavioral EconomicsDelay DiscountingNeuroeconomicsProportionate Alcohol-Related Reinforcement

Identifiers

PMID26993151
PMCPMC4846981

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.