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Drug Alcohol Depend. 2016 Dec 1;169:141-147. doi: 10.1016/j.drugalcdep.2016.10.014. Epub 2016 Oct 19.

Interrelationships between marijuana demand and discounting of delayed rewards: Convergence in behavioral economic methods.

Author information

1
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA. Electronic address: Elizabeth_Aston@Brown.edu.
2
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA; Providence Veterans Affairs Medical Center, Providence, RI 02908, USA.
3
Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada.
4
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA.
5
Center for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA; Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, ON L8N 3K7, Canada; Homewood Research Institute, Guelph, ON N1E 6K9, Canada.

Abstract

BACKGROUND:

Distinct behavioral economic domains, including high perceived drug value (demand) and delay discounting (DD), have been implicated in the initiation of drug use and the progression to dependence. However, it is unclear whether frequent marijuana users conform to a "reinforcer pathology" addiction model wherein marijuana demand and DD jointly increase risk for problematic marijuana use and cannabis dependence (CD).

METHODS:

Participants (n=88, 34% female, 14% cannabis dependent) completed a marijuana purchase task at baseline. A delay discounting task was completed following placebo marijuana cigarette (0% THC) administration during a separate experimental session.

RESULTS:

Marijuana demand and DD were quantified using area under the curve (AUC). In multiple regression models, demand uniquely predicted frequency of marijuana use while DD did not. In contrast, DD uniquely predicted CD symptom count while demand did not. There were no significant interactions between demand and DD in either model.

CONCLUSIONS:

These findings suggest that frequent marijuana users exhibit key constituents of the reinforcer pathology model: high marijuana demand and steep discounting of delayed rewards. However, demand and DD appear to be independent rather than synergistic risk factors for elevated marijuana use and risk for progression to CD. Findings also provide support for using AUC as a singular marijuana demand metric, particularly when also examining other behavioral economic constructs that apply similar statistical approaches, such as DD, to support analytic methodological convergence.

KEYWORDS:

Area under the curve; Behavioral economics; Cannabis dependence; Delay discounting; Marijuana; Purchase task

PMID:
27810657
PMCID:
PMC5140845
DOI:
10.1016/j.drugalcdep.2016.10.014
[Indexed for MEDLINE]
Free PMC Article

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