Literature DB >> 31454109

Utilizing the commodity purchase task to evaluate behavioral economic demand for illicit substances: a review and meta-analysis.

Justin C Strickland1, Ethan M Campbell2, Joshua A Lile1,2,3, William W Stoops1,2,3,4.   

Abstract

BACKGROUND ANDAIMS: The commodity purchase task is a simulated demand procedure that is easy and quick to complete (< 5 minutes) as well as adaptable for remote delivery and use with varied study populations. The purpose of this meta-analysis was to synthesize research using the commodity purchase task with illicit substances to evaluate the magnitude of omnibus effects sizes and moderators of the correlation of demand indices with quantity-frequency (QF) and severity measures.
DESIGN: Random-effects meta-analyses and meta-regressions involving studies with cross-sectional correlational designs. SETTING AND PARTICIPANTS: Eleven studies, 10 outcomes and 2146 participants from two countries (USA and UK) published up to 1 October 2018. MEASUREMENTS: Omnibus effect sizes (correlation coefficients) of five demand indices from the commodity purchase task [intensity (unconstrained consumption), elasticity (price sensitivity), Omax (maximum expenditure), Pmax (price at maximum expenditure) and breakpoint (first price of zero consumption)] with QF and severity measures. Meta-regression models tested moderators of effect sizes (i.e. sample age and sex composition, commodity type and number of prices used in the commodity purchase task).
FINDINGS: Significant omnibus effect sizes were observed with QF and severity measures for intensity (r = 0.32/0.28, QF/severity, respectively), elasticity (r = -0.14/-0.18), Omax (r = 0.30/0.29) and breakpoint (r = 0.17/0.22) values. Pmax was only significantly associated with severity measures (r = 0.15). The percentage of female participants and number of prices used in the purchase task significantly moderated Pmax and breakpoint effect-size estimates in that stronger associations were observed in samples with a greater percentage of women and in studies using tasks with more price points. Commodity type (cannabis versus cocaine) did not significantly moderate associations involving any demand index.
CONCLUSIONS: Behavioral economic demand as measured by the commodity purchase task is consistently correlated with measures of illicit substance use quantity-frequency and severity.
© 2019 Society for the Study of Addiction.

Entities:  

Keywords:  Behavioral economics; cannabis; cocaine; decision-making; demand; human; microeconomics; opioid; reinforcement

Mesh:

Substances:

Year:  2019        PMID: 31454109     DOI: 10.1111/add.14792

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  20 in total

Review 1.  Behavioral economic demand as a unifying language for addiction science: Promoting collaboration and integration of animal and human models.

Authors:  Justin C Strickland; Ryan T Lacy
Journal:  Exp Clin Psychopharmacol       Date:  2020-02-27       Impact factor: 3.157

2.  Cannabis Use Disorder: A Behavioral Economic Perspective.

Authors:  Elizabeth R Aston; Benjamin L Berey
Journal:  Curr Addict Rep       Date:  2022-01-07

3.  A Brief Introduction to Human Behavioral Pharmacology: Methods, Design Considerations and Ethics.

Authors:  William W Stoops
Journal:  Perspect Behav Sci       Date:  2022-03-01

4.  Effects of Very Low Nicotine Content Cigarette use on Cigarette Reinforcement among Smokers with Serious Mental Illness.

Authors:  Teresa E DeAtley; Rachel Cassidy; Morgan L Snell; Suzanne M Colby; Jennifer W Tidey
Journal:  Addict Behav       Date:  2022-05-23       Impact factor: 4.591

5.  Using crowdsourcing to study the differential effects of cross-drug withdrawal for cigarettes and opioids in a behavioral economic demand framework.

Authors:  Mark J Rzeszutek; Cassandra D Gipson-Reichardt; Brent A Kaplan; Mikhail N Koffarnus
Journal:  Exp Clin Psychopharmacol       Date:  2022-02-24       Impact factor: 3.492

Review 6.  Concurrent validity of the Alcohol Purchase Task for measuring the reinforcing efficacy of alcohol: an updated systematic review and meta-analysis.

Authors:  Victor Martínez-Loredo; Alba González-Roz; Roberto Secades-Villa; José R Fernández-Hermida; James MacKillop
Journal:  Addiction       Date:  2021-01-15       Impact factor: 7.256

7.  Experimental manipulations of behavioral economic demand for addictive commodities: a meta-analysis.

Authors:  Samuel F Acuff; Michael Amlung; Ashley A Dennhardt; James MacKillop; James G Murphy
Journal:  Addiction       Date:  2019-12-19       Impact factor: 6.526

8.  A systematic review and meta-analysis of delay discounting and cannabis use.

Authors:  Justin C Strickland; Dustin C Lee; Ryan Vandrey; Matthew W Johnson
Journal:  Exp Clin Psychopharmacol       Date:  2020-04-20       Impact factor: 3.157

9.  Behavioral economic interactions between cannabis and alcohol purchasing: Associations with disordered use.

Authors:  Sean B Dolan; Tory R Spindle; Ryan Vandrey; Matthew W Johnson
Journal:  Exp Clin Psychopharmacol       Date:  2020-10-01       Impact factor: 3.157

10.  (Non-) impact of task experience on behavioral economic decision-making.

Authors:  Justin C Strickland; B Levi Bolin; Katherine R Marks
Journal:  Exp Clin Psychopharmacol       Date:  2021-02-22       Impact factor: 3.492

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