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Unique prediction of cannabis use severity and behaviors by delay discounting and behavioral economic demand.

ABSTRACT: Few studies have simultaneously evaluated delay discounting and behavioral economic demand to determine their unique contribution to drug use. A recent study in cannabis users found that monetary delay discounting uniquely predicted cannabis dependence symptoms, whereas cannabis demand uniquely predicted use frequency. This study sought to replicate and extend this research by evaluating delay discounting and behavioral economic demand measures for multiple commodities and including a use quantity measure. Amazon.com's Mechanical Turk was used to sample individuals reporting recent cannabis use (n=64) and controls (n=72). Participants completed measures of monetary delay discounting as well as alcohol and cannabis delay discounting and demand. Cannabis users and controls did not differ on monetary delay discounting or alcohol delay discounting and demand. Among cannabis users, regression analyses indicated that cannabis delay discounting uniquely predicted use severity, whereas cannabis demand uniquely predicted use frequency and quantity. These effects remained significant after controlling for other delay discounting and demand measures. This research replicates previous outcomes relating delay discounting and demand with cannabis use and extends them by accounting for the contribution of multiple commodities. This research also demonstrates the ability of online crowdsourcing methods to complement traditional human laboratory techniques.

SUBMITTER: Strickland JC

PROVIDER: S-EPMC5567871 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Unique prediction of cannabis use severity and behaviors by delay discounting and behavioral economic demand.

Strickland Justin C JC Lile Joshua A JA Stoops William W WW

Behavioural processes 20170324

Few studies have simultaneously evaluated delay discounting and behavioral economic demand to determine their unique contribution to drug use. A recent study in cannabis users found that monetary delay discounting uniquely predicted cannabis dependence symptoms, whereas cannabis demand uniquely predicted use frequency. This study sought to replicate and extend this research by evaluating delay discounting and behavioral economic demand measures for multiple commodities and including a use quanti ...[more]

PMID: 28347716

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Project description:Steep delay discounting, or a greater preference for smaller-immediate rewards over larger-delayed rewards, is a common phenomenon across a range of substance use and psychiatric disorders. Non-substance behavioral addictions (e.g., gambling disorder, internet gaming disorder, food addiction) are of increasing interest in delay discounting research. Individual studies have reported steeper discounting in people exhibiting various behavioral addictions compared to controls or significant correlations between discounting and behavioral addiction scales; however, not all studies have found significant effects. To synthesize the published research in this area and identify priorities for future research, we conducted a pre-registered systematic review and meta-analysis (following PRISMA guidelines) of delay discounting studies across a range of behavioral addiction categories. The final sample included 78 studies, yielding 87 effect sizes for the meta-analysis. For studies with categorical designs, we found statistically significant, medium-to-large effect sizes for gambling disorder (Cohen's d = 0.82) and IGD (d = 0.89), although the IGD effect size was disproportionately influenced by a single study (adjusted d = 0.53 after removal). Categorical internet/smartphone studies were non-significant (d = 0.16, p = 0.06). Aggregate correlations in dimensional studies were statistically significant, but generally small magnitude for gambling (r = 0.22), internet/smartphone (r = 0.13) and food addiction (r = 0.12). Heterogeneity statistics suggested substantial variability across studies, and publication bias indices indicated moderate impact of unpublished or small sample studies. These findings generally suggest that some behavioral addictions are associated with steeper discounting, with the most robust evidence for gambling disorder. Importantly, this review also highlighted several categories with notably smaller effect sizes or categories with too few studies to be included (e.g., compulsive buying, exercise addiction). Further research on delay discounting in behavioral addictions is warranted, particularly for categories with relatively few studies.

Project description:Background and aimsReinforcing value, an index of motivation for a drug, is commonly measured using behavioral economic purchase tasks. State-oriented purchase tasks are sensitive to phasic manipulations, but with heterogeneous methods and findings. The aim of this meta-analysis was to characterize the literature examining manipulations of reinforcing value, as measured by purchase tasks and multiple-choice procedures, to inform etiological models and treatment approaches METHODS: A random-effects meta-analysis of published findings in peer-reviewed articles. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, studies were gathered through searches in PsycINFO and PubMed/MEDLINE (published 22 May 2018). Searches returned 34 unique studies (aggregate sample n = 2402; average sample size = 68.94) yielding 126 effect sizes. Measurements included change (i.e. Cohen's d) in six behavioral economic indices (intensity, breakpoint, Omax , Pmax , elasticity, cross-over point) in relation to six experimental manipulations (cue exposure, stress/negative affect, reinforcer magnitude, pharmacotherapy, behavioral interventions, opportunity cost).ResultsCue exposure (d range = 0.25-0.44, all Ps < 0.05) and reinforcer magnitude [d = 0.60; 95% confidence interval (CI) = 0.18, 1.01; P < 0.005] manipulations resulted in significant increases in behavioral economic demand across studies. Stress/negative affect manipulations also resulted in a small, significant increase in Omax (d = 0.18; 95% CI = 0.01, 0.34; P = 0.03); all other effect sizes for negative affect/stress were non-significant, albeit similar in size (d range = 0.14-0.18). In contrast, pharmacotherapy (d range = -0.37 to -0.49; Ps < 0.04), behavioral intervention (d = -0.36 to -1.13) and external contingency (d = -1.42; CI = -2.30, -0.54; P = 0.002) manipulations resulted in a significant decrease in intensity. Moderators (substance type) explained some of the heterogeneity in findings across meta-analyses.ConclusionsIn behavioral economic studies, purchase tasks and multiple-choice procedures appear to provide indices that are sensitive to manipulations found to influence motivation to consume addictive substances in field experiments.

Project description:Introduction:The majority of cigarettes sold in the United States and abroad feature filter ventilation holes designed to dilute mainstream smoke. Although initially intended to produce a safer cigarette, data instead suggest that filter ventilation increases total harm from smoking. In the present study, we examined the effects of blocking ventilation holes on behavioral economic demand for cigarettes (i.e., consumption as a function of price). Methods:In a within-subjects design, regular smokers (N = 15) of ventilated cigarettes sampled vent-blocked cigarettes for 3 days. Subsequently, they completed three sessions in which they used an experimental income to purchase vent-blocked and/or control cigarettes across a range of prices. Participants also completed the Drug Effects/Liking Scale. Results:In sessions in which only one cigarette type was available, demand measures were undifferentiated between cigarette types. However, in sessions in which both cigarettes were available at equivalent prices, significantly greater preference for ventilated control cigarettes emerged in demand measures. Regardless of session type, participants also rated vent-blocked cigarettes more poorly in the Drug Effects/Liking Scale (more bad effects, fewer good effects, and less liking, desire, and less likely to use again). Conclusions:Removing filter ventilation reduced cigarette abuse liability, as measured by behavioral economic demand and the Drug Effects/Liking Scale. However, reduced demand was only apparent when both cigarette types were concurrently available. This selective effect suggests that regulatory action banning filter ventilation would only reduce cigarette consumption when effective substitutes for vent-blocked cigarettes are available. Implications:This preliminary study indicates that regulatory action designed to ban or restrict cigarette filter ventilation may decrease cigarette abuse liability as measured by both behavioral economic demand and self-report measures. However, effects of removing filter ventilation on demand measures appear to depend on concurrent availability of alternative, preferred cigarette types.

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Unique prediction of cannabis use severity and behaviors by delay discounting and behavioral economic demand.

Publications

Unique prediction of cannabis use severity and behaviors by delay discounting and behavioral economic demand.

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