The effects of perceived quality on behavioral economic demand for marijuana: A web-based experiment

Vincent, Paula C.; Liu, Liu; Yu, Jihnhee; Leo, Joseph A. De; Earleywine, Mitch

doi:10.1016/j.drugalcdep.2016.11.013

Cited by 76 publications

(38 citation statements)

References 28 publications

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“…A subgroup of studies were eligible, but data were unavailable . Further, several studies did not fit into a manipulation category with enough effect sizes and were thus not included . Each study reported an average sample size of 68.94 (range = 7–328; aggregate sample = 2402).…”

Section: Methodsmentioning

confidence: 99%

Experimental manipulations of behavioral economic demand for addictive commodities: a meta‐analysis

et al. 2019

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Background and Aims Reinforcing 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). Results Cue 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. Conclusions In 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.

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Section: Methodsmentioning

confidence: 99%

Experimental manipulations of behavioral economic demand for addictive commodities: a meta‐analysis

et al. 2019

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“…Elevated demand is also associated with alcohol use disorder (Bertholet et al, 2015; Mackillop et al, 2010a), and demand predicts brief alcohol intervention outcomes (MacKillop and Murphy, 2007). Similarly, elevated demand has been related to problematic use of cigarettes, marijuana, prescription opiates, and cocaine as well (Aston et al, 2016, 2015; Bruner and Johnson, 2014; Chase et al, 2013; Collins et al, 2014; Pickover et al, 2016; Vincent et al, 2016). …”

Section: Introductionmentioning

confidence: 99%

Further examination of the temporal stability of alcohol demand

Acuff

Murphy

2017

Behavioural Processes

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Demand, or the amount of a substance consumed as a function of price, is a central dependent measure in behavioral economic research and represents the relative valuation of a substance. Although demand is often utilized as an index of substance use severity and is assumed to be relatively stable, recent experimental and clinical research has identified conditions in which demand can be manipulated, such as through craving and stress inductions, and treatment. Our study examines the 1-month reliability of the alcohol purchase task in a sample of heavy drinking college students. We also analyzed reliability in subgroup of individuals whose consumption decreased, increased, or stayed the same over the 1-month period, and in individuals with moderate/severe Alcohol Use Disorder (AUD) vs. those with no/mild AUD. Reliability was moderate in the full sample, high in the group with stable consumption, and did not differ appreciably between AUD groups. Observed indices and indices derived from an exponentiated equation (Koffarnus et al., 2015) were generally comparable, although Pmax observed had very low reliability. Area under the curve, Omax derived, and essential value showed the greatest reliability in the full sample (rs = .75–.77). These results provide evidence for relative stability over time and across AUD groups, particularly in those whose consumption remains stable.

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“…For example, a purchase task study that asked emerging adult smokers how much they would smoke at different cigarette prices exhibited a negative relationship between monetary price and desired consumption (MacKillop et al, 2008). Similar studies on emerging adult marijuana users found an inverse relationship between the hypothetical price of marijuana and the number of joints participants would smoke (Collins, Vincent, Yu, Liu, & Epstein, 2014; Vincent, Collins, Liu, Yu, & De Leo, 2017). Other similar studies with college students found a negative relationship between the hypothetical monetary price of alcohol and the number of drinks participants would consume (Murphy & MacKillop, 2006; Murphy, MacKillop, Skidmore, & Pederson, 2009).…”

Section: Introductionmentioning

confidence: 67%

Personal Income and Substance Use among Emerging Adults in the United States

Kar

Haynie

Luk

et al. 2018

Substance Use & Misuse

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In unadjusted models, those at certain levels of higher past-year income were more likely to smoke cigarettes, consume alcohol, or engage in HED at least once in the past 30 days. Several associations remained significant after controlling for covariates. Most associations were no longer significant after including perceived peer norms as additional covariates. Personal income was not associated with 30-day marijuana use in unadjusted or adjusted models. Conclusions/Importance: Higher earned income may provide emerging adults greater economic access to cigarettes and alcohol, but the association might be partly attenuated by social factors, particularly perceived peer norms.

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The effects of perceived quality on behavioral economic demand for marijuana: A web-based experiment

Cited by 76 publications

References 28 publications

Experimental manipulations of behavioral economic demand for addictive commodities: a meta‐analysis

Experimental manipulations of behavioral economic demand for addictive commodities: a meta‐analysis

Further examination of the temporal stability of alcohol demand

Personal Income and Substance Use among Emerging Adults in the United States

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