A behavioral economic approach to assessing demand for marijuana

Exploring the suitability of cannabis use with next-day responsibilities: A behavioral-economic and qualitative study

Cannabis demand is sensitive to next-day responsibilities, such as job interviews; however, it is unclear how demand is affected by non-work-related responsibilities and how reported compatibility of cannabis use (i.e., how suitable one perceives cannabis use to be in a situation) influences demand. This study examined the effects of a range of responsibilities on cannabis demand in a crowdsourced sample of adults who smoked cannabis at least monthly (n = 177; 78% White; 47% women; mean age = 36.52). Participants completed hypothetical marijuana purchase tasks asking how much cannabis they would consume at escalating prices in the context of no responsibilities and next-day responsibilities spanning work, leisure, and caregiving. Cannabis demand was significantly reduced in all responsibility conditions (ps < .008; ds .28-.94), with the largest reductions for the job interview and caring-for-kids conditions. Higher ratings of suitability of cannabis use in each situation were correlated with higher demand. Finally, a qualitative thematic analysis characterized why cannabis use was considered suitable or unsuitable with each responsibility. These results suggest that demand is sensitive to next-day responsibilities. However, these effects are not uniform, and future research is needed to examine these individual differences and the timing of upcoming responsibilities.

Utility of a brief measure of cannabis demand: Day-level associations with cannabis use

BACKGROUND

Cannabis demand (i.e., relative value) is usually assessed as a trait-level risk-factor for cannabis use and consequences. This study examined within-person variability in day-level intensity (i.e., amount consumed at zero cost) and Omax (i.e., maximum cannabis expenditure) and tested hypotheses that demand would be positively associated with day-level cannabis use.

METHODS

Young adults (n=85) reporting past-month simultaneous alcohol and cannabis use completed two daily surveys for 30 days. Morning surveys assessed prior-day cannabis use and evening surveys assessed day-level demand (i.e., intensity, Omax). Multilevel models tested day-level effects of intensity and Omax on any cannabis use and flower use frequency and quantity (i.e., grams).

RESULTS

Approximately 52 % and 46 % of variability in intensity and Omax, respectively, was due to within-person change. At the day-level, higher intensity and Omax were associated with higher likelihood of any cannabis use, regardless of formulation; Omax was associated with use of flower in particular; and intensity was associated with the highest quantity of use. At the person-level, only Omax was associated with flower use likelihood, and only intensity was associated with flower quantity across days.

CONCLUSIONS

Cannabis demand demonstrated day-to-day variability, conceivably in response to various internal states and external factors. Intensity and Omax were related to elevated likelihood of using any cannabis, particularly flower, at the day-level. Overall, these data illustrate the validity and utility of brief cannabis demand measures, which might be used to further understand cannabis' reinforcing value at a fine-grained level.

Lessons Learned in Developing a Behavioral Economic Measure of Cannabis Use Using a Predominantly White Sample

Behavioral economic approaches to measuring cannabis demand represent a well-validated, low-cost method of assessing risk for hazardous cannabis use. One widely used measure of cannabis demand is the Marijuana Purchase Task (MPT), which has shown good psychometric properties across multiple samples. However, preliminary data suggest that changes could improve task ecological validity and acceptability. Using a predominantly White convenience sample, this study aimed to develop a revised MPT that uses a modern dispensary scenario to better reflect national trends in cannabis use (e.g., multiple forms of cannabis consumption). Participant inattentiveness due to increased task length and difficulty estimating purchases for the next month may have impacted demand measures. Lessons learned are discussed to inform future efforts to assess cannabis demand in a manner that is more reflective of naturalistic use: including minimizing participant burden, setting higher price ceilings to increase task utility, and considering person-level factors that may influence demand.

Reinforcer value moderates response magnitude and persistence during extinction: A randomized trial

Extinction bursts, or temporary increases in rates and intensities of behavior during extinction, can preclude the inclusion of extinction in intervention packages meant to suppress severe challenging behavior. To identify underlying behavioral mechanisms responsible for response persistence and bursting, 69 adults with developmental disabilities completed a low-stakes translational investigation employing a 2 × 2 factorial, crossed, and randomized matched blocks design, with batched randomization logic. In each of the four test groups, we made distinct antecedent manipulations with two value parameters commonly studied through behavioral economics (i.e., demand intensity, Pmax) and evaluated the extent to which each of these manipulations influenced target responding during extinction. Although we found statistically significant differences attributable to both parameters, variations in reinforcer consumption relative to demand intensity were most influential across all dependent variables. This outcome implicates consumption relative to demand intensity as both a mitigating and exacerbating preextinction factor that influences the prevalence of adverse collateral extinction effects (e.g., bursts).

Executive functions and behavioral economic demand for cannabis among young adults: Indirect associations with cannabis consumption and cannabis use disorder

Behavioral economic demand for cannabis is robustly associated with cannabis consumption and cannabis use disorder (CUD). However, few studies have examined the processes underlying individual differences in the relative valuation of cannabis (i.e., demand). This study examined associations between executive functions and cannabis demand among young adults who use cannabis. We also examined indirect associations of executive functions with cannabis consumption and CUD symptoms through cannabis demand. Young adults (N = 113; 58.4% female; mean age 22 years) completed a Marijuana Purchase Task. Participants also completed cognitive tasks assessing executive functions (set shifting, inhibitory control, working memory) and semistructured interviews assessing past 90-day cannabis consumption (number of grams used) and number of CUD symptoms. Poorer inhibitory control was significantly associated with greater Omax (peak expenditure on cannabis) and greater intensity (cannabis consumption at zero cost). Poorer working memory was significantly associated with lower elasticity (sensitivity of consumption to escalating cost). Lower inhibitory control was indirectly associated with greater cannabis consumption and CUD symptoms through greater Omax and intensity, and poorer working memory was indirectly associated with greater cannabis consumption and CUD symptoms through reduced elasticity. This study provides novel evidence that executive functions are associated with individual differences in cannabis demand. Moreover, these results suggest that cannabis demand could be a mechanism linking poorer executive functioning with heavier cannabis use and CUD, which should be confirmed in future longitudinal studies. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Behavioral economic analysis of legal and illegal cannabis demand in Spanish young adults with hazardous and non-hazardous cannabis use

BACKGROUND

In October 2021, a legal framework that regulates cannabis for recreational purposes in Spain was proposed, but research on its potential impacts on cannabis use is currently limited. This study examined the reliability and discriminant validity of two Marijuana Purchase Tasks (MPTs) for measuring hypothetical legal and illegal cannabis demand, and to examine differences in demand of both commodities in young adults at hazardous vs. non-hazardous cannabis use risk levels.

METHODS

A total of 171 Spanish young adults [Mage = 19.82 (SD = 1.81)] with past-month cannabis use participated in a cross-sectional study from September to November 2021. Two 27-item MPTs were used to estimate hypothetical demand for legal and illegal cannabis independently. The Cannabis Use Disorder Identification Test (CUDIT-R) was used to assess hazardous cannabis use and test for discriminant validity of the MPTs. Reliability analyses were conducted using Classical Test Theory (Cronbach's alpha) and Item Response Theory (Item Information Functions).

RESULTS

The MPT was reliable for measuring legal (α = 0.94) and illegal (α = 0.90) cannabis demand. Breakpoint (price at which demand ceases), and Pmax (price associated with maximum expenditure) were the most sensitive indicators to discriminate participants with different levels of the cannabis reinforcing trait. No significant differences between legal and illegal cannabis demand in the whole sample were observed, but hazardous vs. non-hazardous users showed higher legal and illegal demand, and decreased Breakpoint and Pmax if cannabis were legal vs illegal.

CONCLUSION

The MPT exhibits robust psychometric validity and may be useful to inform on cannabis regulatory science in Spain.

Examining the effect of cannabis cues on cannabis demand in sleep, driving, and typical drug-use contexts

PURPOSE

Given the expanding legal cannabis market in the U.S., it is vital to understand how context impacts cannabis use. Therefore, we explored the effect of cannabis cues and cannabis-use context on cannabis demand in 79 adults who reported smoking cannabis at least weekly.

METHODS

Participants completed a single laboratory session consisting of four hypothetical marijuana purchase tasks (MPTs) involving either a typical use situation or a driving or sleep context. The MPTs were alternated with exposure to cannabis or neutral picture cues based on block randomization by gender.

RESULTS

Cannabis cues increased self-reported craving for cannabis (p =.044) but did not significantly alter demand (ps =0.093-0.845). In the driving context, participants demonstrated a significant reduction in cannabis demand, indicated by lower intensity (p <0.001), Omax (p <0.001), and Pmax (p <0.001), breakpoint (p =.003), and higher α (p <0.001). The sleep context was associated with significantly greater α (p <0.006) but nonsignificant effects for other indices (ps =0.123-0.707). Finally, cannabis cues increased Omax (p =.013) and breakpoint (p =.035) in the sleep context but not in the typical-use context.

CONCLUSIONS

These findings suggest that cannabis-use behavior is sensitive to contingencies surrounding driving after cannabis use and may also be sensitive to sleep contexts in the presence of cannabis cues. Since this is the first study to examine driving and sleep contexts, we caution against drawing broad conclusions until future research is conducted to replicate these findings.

Exponentiated model of drug demand is preferred over exponential models in people with daily/near daily cannabis use

Cannabis use is a growing health concern emphasizing the need to better understand the complexities of drug choice in people with daily/near daily cannabis use. Hypothetical purchasing tasks provide a means to collect data on drug consumption behavior without requiring drug administration and have been used to isolate behavioral economic factors of choice, including facets of drug demand in substance using populations. Various models are used for analyzing hypothetical purchasing task data, but challenges exist in modeling data sets with consumption values of zero. Additionally, a single model or approach may not be best for all commodities and drug classes. This study compared two common demand models (exponential vs. exponentiated) applied to identical hypothetical purchasing task data from 21 (n = 21) individuals with daily/near daily cannabis use. The exponential model was fit using three common levels of replacement values for zero consumption (.1, .01, .001) and compared to the exponentiated model without replacement values. We found that the exponentiated model produced significantly better model fits for individual data, compared to all exponential models. Additionally, significant differences for model derived values of demand elasticity and intensity were found between the exponentiated model and different levels of the exponential model. We conclude that the exponentiated model is preferred over the exponential model for performing demand analysis on hypothetical purchasing task data from individuals with daily/near daily cannabis use. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Cannabis demand and use among veterans: A prospective examination

OBJECTIVE

Cannabis demand (i.e., relative value), assessed cross-sectionally via a hypothetical marijuana purchase task (MPT), has been associated with use, problems, and dependence symptoms, among others. However, limited work exists on the prospective stability of the MPT. Furthermore, cannabis demand among veterans endorsing cannabis use, and the prospective cyclical relationship between demand and use over time, have yet to be investigated.

METHOD

Two waves of data from a veteran sample (N = 133) reporting current (past 6-month) cannabis use were analyzed to assess stability in cannabis demand over 6 months. Autoregressive cross-lagged panel models (CLPMs) assessed the longitudinal associations between demand indices (i.e., intensity, Omax, Pmax, breakpoint) and cannabis use.

RESULTS

Baseline cannabis use predicted greater intensity (β = .32, p < .001), Omax (β = .37, p < .001), breakpoint (β = .28, p < .001), and Pmax (β = .21, p = .017) at 6 months. Conversely, baseline intensity (β = .14, p = .028), breakpoint (β = .12, p = .038), and Pmax (β = .12, p = .043), but not Omax, predicted greater use at 6 months. Only intensity demonstrated acceptable prospective reliability.

CONCLUSIONS

Cannabis demand demonstrated stability over 6 months in CLPM models, varying along with natural changes in cannabis use. Importantly, intensity, Pmax, and breakpoint displayed bidirectional predictive associations with cannabis use, and the prospective pathway from use to demand was consistently stronger. Test-retest reliability ranged from good to poor across indices. Findings highlight the value of assessing cannabis demand longitudinally, particularly among clinical samples, to determine how demand fluctuates in response to experimental manipulation, intervention, and treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Why get high? Coping and enjoyment motives mediate elevated cannabis demand and cannabis-related outcomes

OBJECTIVE

Cannabis is the most used psychoactive substance among adolescents and is a public health concern. Cannabis demand is a quantifiable measure of the reinforcing value of cannabis and comprises two latent-factors-amplitude (maximum consumption) and persistence (sensitivity to increasing costs). Cannabis demand and cannabis motives are important predictors of adolescent cannabis use and associated problems; however, little is known about how these two facets of motivation are causally related. Cannabis motives are thought to represent the final common pathway to cannabis use and may explain why elevated demand is associated with use and consequences. The present study tested whether internal cannabis motives (coping and enjoyment) mediated longitudinal associations between cannabis demand, use (hours high), and negative consequences.

METHOD

Participants aged 15-18 years old (n = 89, Mage = 17.0, SD = 0.9) who reported lifetime cannabis use completed online assessments of cannabis demand, motives, use and negative consequences at baseline, 3-month, and 6-month follow-up.

RESULTS

PROCESS mediation models revealed that enjoyment motives mediated the association between amplitude and persistence and use. In addition, coping motives mediated the association between amplitude and negative consequences.

CONCLUSIONS

These findings suggest that internal motives, while differentially related to aspects of demand and cannabis outcomes, are important in understanding adolescent cannabis use. Prevention efforts aimed at limiting access to cannabis and increasing access to substance-free activities may be important targets for adolescents. Further, cannabis interventions targeting specific motives for using (e.g., to cope with negative affect) may be important for reducing cannabis demand. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Measuring cannabis quantities in online surveys: A rapid review and proposals for ways forward

OBJECTIVES

Cannabis use quantities are relevant for determining cannabis-related harms. This research aims to provide an overview of the available methods to assess quantities through self-report.

METHODS

A rapid review of various strategies to collect information on cannabis use quantities through self-report. Two independent literature searches resulted in n = 38 studies included for review.

RESULTS

A total of n = 14 studies employed methods for collecting cannabis use quantities that are not suitable for online surveys (e.g., rolling a fake joint). Of the remaining n = 24 studies with items that are suitable for online surveys, the quantity assessment was performed in three different ways. The data collection was either carried out by asking (a) for the total number of joints (i.e., crude joint method), (b) for the total weight (i.e., crude weight method), or (c) for specific products separately, for example, for the amount of flower and resin (i.e., product-specific method). In only n = 8 studies, cannabis use quantities were ascertained by providing visual aids (e.g., illustration of various amounts of flower).

CONCLUSIONS

The crude joint method and the product-specific method are the two most promising methods to collect information on cannabis use quantities. Using visual aids may potentially improve the accuracy of those methods.

Behavioral economic relationship between cannabis flower and concentrates: Evidence from simulated purchase tasks

Cannabis users use different forms of cannabis, which are associated with distinct public health concerns. Policies that aim to regulate one specific form may have unintended impacts on other forms. This study examined the behavioral economic relationship between flower and concentrates, the two most common forms of cannabis. We surveyed 605 adult cannabis users (21+) who lived in one of the U.S. states that had legalized recreational cannabis by the time of interview in 2019. The participants completed simulated purchase tasks, which asked how much cannabis flower and concentrates they would purchase in the next 30 days at escalating prices. We estimated (a) demand indices and own-price elasticities using nonlinear exponential demand models and (b) group- and individual-level cross-price elasticities using log-linear demand models. The estimated rate of change in demand elasticity (α) was 0.00066 for cannabis flower (SE = 0.00002, p < .001) and 0.00058 for cannabis concentrate (SE = 0.00002, p < .001). Group-level cross-price elasticity estimate (slope = -0.075, SE = 0.0135, p < .001) indicated that cannabis flower and concentrates were weak complements. Individual-level cross-price elasticity estimates showed that flower and concentrates were treated as independent by 76.2% of the users, as complements by 19.0% of the users, and as substitutes by 4.8% of the users. The findings suggested that cannabis flower and concentrates were overall weak complements and for most adult cannabis users were treated as independent of each other. Price and tax policies regulating either cannabis form may have minimal impacts on the other form. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Testing the cannabis gateway hypothesis in a national sample of Spanish adolescents

BACKGROUND

The gateway hypothesis holds that the use of legal substances (i.e., tobacco and alcohol) increases the risk of initiating in cannabis use which, in turn, increases the chances of using other illegal substances. The validity of this hypothesis has been the subject of intense debate in recent years, finding sequences with a different order. Moreover, this pattern has been scarcely studied in Spain, where characteristics related to cannabis use are meaningfully different to other countries. This study aims to examine the gateway effects of cannabis towards other legal and illegal substances in Spanish adolescents.

MATERIAL AND METHODS

Data were obtained from the Ministry of Health in Spain, through a representative survey of addictive behaviors of 36,984 Spanish adolescents (M_age = 15.7, SD = 1.2, 51.4% females).

RESULTS

Lifetime cannabis use increased the likelihood of later legal substance use, both tobacco (OR = 2.0; 95%CI 1.81, 2.22) and alcohol (OR = 1.93; 95%CI 1.61, 2.31), as well as illegal substances (OR = 5.36; 95%CI 4.80, 5.98) and polysubstance (OR = 18.24; 95%CI 14.63, 22.73). Early age of cannabis use onset significantly increased the likelihood of subsequent legal and illegal substance use (ORs between 1.82 and 2.65).

CONCLUSIONS

These findings confirm and expand the available evidence on cannabis as a gateway substance. These results can help to drive preventive strategies for substance use in Spanish adolescents.

Reliability of an adaptive marijuana purchase task

Purchase tasks are used to measure the value, or demand, for various substances by assessing the amount of a substance individuals would purchase across a series of escalating prices. Marijuana purchase task (MPT) has been previously developed; however, cannabis can be consumed in various forms and measurements, thus raising questions about the applicability of the MPT across cannabis users. An adaptive MPT was developed to allow participants to select their preferred product (e.g., herbal, dabs) and division (e.g., hits, grams). Little research has been done to assess the temporal stability of these measures. Participants (N = 50, Mage = 35.3) who reported at least monthly cannabis use were recruited via Amazon's Mechanical Turk and completed a baseline and repeated original and adaptive MPT. Seventy-two percent (N = 36) of the sample reported the same preferred product and division. Results indicated that the baseline and repeated original MPT were significantly correlated across all indices (rrange = .37-.73), while the baseline and repeated adaptive MPT was significantly correlated with Pmax (r = .31, p = .029) and Omax (r = .57, p < .001). Permutation testing comparing the difference between the original and adaptive MPT on all indices demonstrated a difference for break point (rdifference = .52, p = .004) and elasticity (rdifference = .94, p = .005). Correlations were lower between participants who switched their preferences on the adaptive MPT. Only elasticity was significantly different (rdifference = .93, p = .012) between tasks among participants who did not switch their preferences. Results provide support that both the original and adaptive MPT are reliable across repeated measurement and demonstrate the importance of assessing cannabis product and division preferences. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Initial development and validation of a brief assessment of marijuana demand among young adult college students

Hypothetical purchase tasks assess substance demand, but the length of purchase tasks makes repeated assessment of state-dependent changes in demand difficult, often limiting clinical utility. Although brief assessments of alcohol and cigarette demand exist, brief measures of cannabis demand do not. College students (N = 209, Mage = 19.92, SD = 1.45; 63% female; 56.9% non-Hispanic Caucasian) who reported using cannabis at least 3 days in the past month, completed an online survey including the full-length marijuana purchase task (MPT), a three-item brief assessment of marijuana demand (BAMD) assessing intensity, Omax and breakpoint, and cannabis use outcomes. Convergent and divergent validity were examined. Independent samples t tests compared demand on the BAMD and MPT based on presence or absence of cannabis use disorder (CUD) symptoms, and one-way between-subject analyses of variance compared effects of CUD severity (mild/moderate/severe) on BAMD indices. All indices were significantly correlated across both assessment measures (ps < .01). Similarly, all indices on both demand measures were significantly correlated with craving, CUD severity, and cannabis-related consequences (ps < .01); whereas only intensity and Omax were significantly correlated with cannabis use frequency (ps < .01). Individuals with (vs. without) CUD symptoms reported significantly greater intensity and Omax (ps < .01) and significant differences in CUD severity on BAMD indices were found as well (ps < .05). The BAMD demonstrated convergent and divergent validity with the MPT. Findings suggest that brief cannabis demand can be easily assessed as an indicator for high-risk cannabis use. Thus, the BAMD may be a useful and clinically relevant tool to assess cannabis demand in real-world settings. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Concurrent validity of the marijuana purchase task: a meta-analysis of trait-level cannabis demand and cannabis involvement

BACKGROUND AND AIMS

The Marijuana Purchase Task (MPT) is increasingly used to measure cannabis reinforcing value and has potential use for cannabis etiological and regulatory research. This meta-analysis sought to evaluate for the first time the MPT's concurrent validity in relation to cannabis involvement.

METHODS

Electronic databases and pre-print repositories were searched for MPT studies that examined the cross-sectional relationship between frequency and quantity of cannabis use, problems, dependence, and five MPT indicators: intensity (i.e. unrestricted consumption), Omax (i.e. maximum consumption), Pmax (i.e. price at which demand becomes elastic), breakpoint (i.e. first price at which consumption ceases), and elasticity (i.e. sensitivity to rising costs). Random effects meta-analyses of cross-sectional effect sizes were conducted, with Q tests for examining differences by cannabis variables, meta-regression to test quantitative moderators, and publication bias assessment. Moderators included sex, number of MPT prices, variable transformations, and year of publication. Populations included community and clinical samples.

RESULTS

The searches yielded 14 studies (n = 4077, median % females: 44.8%: weighted average age = 29.08 [SD = 6.82]), published between 2015 and 2022. Intensity, Omax , and elasticity showed the most robust concurrent validity (|r's| = 0.147-325, ps < 0.014) with the largest significant effect sizes for quantity (|r| intensity = 0.325) and cannabis dependence (|r| Omax  = 0.320, |r| intensity = 0.305, |r| elasticity = 0.303). Higher proportion of males was associated with increased estimates for elasticity-quantity and Pmax -problems. Higher number of MPT prices significantly altered magnitude of effects sizes for Pmax and problems, suggesting biased estimations if excessively low prices are considered. Methodological quality was generally good, and minimal evidence of publication bias was observed.

CONCLUSIONS

The marijuana purchase task presents adequate concurrent validity to measure cannabis demand, most robustly for intensity, Omax , and elasticity. Moderating effects by sex suggest potentially meaningful sex differences in the reinforcing value of cannabis.

Use of a sequential multiple assignment randomized trial to test contingency management and an integrated behavioral economic and mindfulness intervention for buprenorphine-naloxone medication adherence for opioid use disorder

BACKGROUND

Buprenorphine-naloxone is a medication shown to improve outcomes for individuals seeking treatment for opioid use disorder (OUD); however, outcomes are limited by low medication adherence rates. This is especially true during the early stages of treatment.

METHODS

The present study proposes to utilize a sequential multiple assignment randomized trial design to compare two psychological interventions targeting buprenorphine-naloxone adherence: (1) contingency management (CM) and (2) brief motivational interviewing plus substance-free activities session plus mindfulness (BSM). Participants will be N = 280 adults who present to a university-based addictions clinic seeking treatment for OUD. Participants will be randomized to condition to receive 4 sessions of their assigned intervention (CM or BSM). Participants who are adherent, defined as attending physician appointments and having buprenorphine present in urine toxicology, will enter maintenance intervention for an additional 6 months. Those who are not adherent will be re-randomized to receive either the other intervention or both interventions. Follow-up will occur at 8 months post-randomization.

CONCLUSIONS

This novel design will examine the benefit of sequential treatment decisions following non-adherence. The primary outcome of this study is buprenorphine-naloxone medication adherence, as assessed by physician visit attendance and presence of buprenorphine in urine. Results will elicit the relative efficacy of CM and BSM compared to one another and whether keeping the initial treatment approach when adding the alternative approach for initially non-adherent individuals is beneficial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04080180.

Addictive behavior as molar behavioral allocation: Distinguishing efficient and final causes in translational research and practice

OBJECTIVE

Translational research on addictive behaviors viewed as molar behavioral allocation is critically reviewed. This work relates rates of behavior to rates of reinforcement over time and has been fruitfully applied to addictive behaviors, which involve excessive allocation to short-term rewards with longer term costs.

METHOD

Narrative critical review.

RESULTS

This approach distinguishes between final and efficient causes of discrete behaviors. The former refers to temporally extended behavior patterns into which the act fits. The latter refers to environmental stimuli or internal psychological mechanisms immediately preceding the act. Final causes are most clear when addictive behaviors are studied over time as a function of changing environmental circumstances. Discrete acts of addictive behavior are part of an extended/molar behavior pattern when immediate constraints on engagement are low and few rewarding alternatives are available. Research framed by efficient causes often use behavioral economic simulation tasks as individual difference variables that precede discrete acts. Such measures show higher demand for addictive commodities and steeper discounting in various risk groups, but whether they predict molar addictive behavior patterning is understudied.

CONCLUSIONS

Although efficient cause analysis has dominated translational research, research supports viewing addictive behavior as molar behavioral allocation. Increasing concern with rate variables underpinning final cause analysis and considering how study methods and temporal units of analysis inform an efficient or final cause analysis may advance understanding of addictive behaviors that occur over time in dynamic environmental contexts. This approach provides linkages between behavioral science and disciplines that study social determinants of health. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The effects of social context and opportunity cost on the behavioral economic value of cannabis

OBJECTIVE

Behavioral economics suggest that cannabis reinforcing value (cannabis demand) may be influenced by external, contextual factors such as the social reward that might accompany cannabis use and the presence of opportunity costs (e.g., a next-day responsibility that cannabis use might adversely impact). The present study examined the effect of social context and opportunity cost on cannabis demand and explored whether relations were moderated by cannabis use severity.

METHOD

Adults with past-week cannabis use recruited from Amazon's Mechanical Turk (N = 310; 53.5% female, 79.4% White) completed four purchase tasks, in which participants reported how much cannabis they would purchase across escalating prices, to index cannabis demand under varying contexts: (a) solitary, typical responsibilities; (b) social, typical responsibilities; (c) solitary, substantial responsibilities; and (d) social, substantial responsibilities.

RESULTS

The presence of peers significantly increased demand intensity (consumption at zero price) and Omax (maximum expenditure) relative to the solitary conditions. Substantial responsibilities significantly decreased intensity, breakpoint (price at which consumption is fully suppressed), and Pmax (price at which maximum expenditure occurs) and increased elasticity (greater price sensitivity). Demand was most inelastic in the social, typical responsibilities condition relative to other conditions. Cannabis use severity was associated with less elastic demand in the solitary, typical responsibilities condition. Those with higher cannabis use severity reported larger differences in demand intensity and Omax between solitary and social conditions, and in demand elasticity between typical and substantial responsibility conditions.

CONCLUSIONS

Results are consistent with previous research illustrating social and opportunity costs as determinants of cannabis use behavior. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Can I see some ID? Examining validity of the marijuana purchase task among late adolescent cannabis users

Cannabis demand (i.e., reinforcing value) can be assessed using a marijuana purchase task (MPT; assesses hypothetical purchasing of cannabis at escalating prices) and has been related to use frequency, problems, and cannabis use disorder symptoms in adults. Cannabis demand has yet to be studied in adolescents, which can inform prevention and intervention efforts to reduce cannabis-related risks. The present study sought to validate the MPT with a sample of late adolescent lifetime cannabis users. Participants aged 15-18 years old (n = 115, Mage = 16.9, SD = 0.9) residing in a state with legalized cannabis use completed online assessments at baseline and 6-month follow-up. Convergent and divergent validity was examined, while principal component analysis was conducted to determine the factor structure and assess predictive validity. Three indices, Omax (i.e., maximum expenditure on cannabis), breakpoint (i.e., price suppressing consumption to zero), and alpha (i.e., degree to which consumption decreases with increasing price) were all significantly associated with cannabis use, consequences, craving, and expenditures and significantly differentiated low-risk users and high-risk users as measured by the Cannabis Use Disorders Identification Test-Revised (CUDIT-R). A two-factor solution reflecting amplitude (intensity, alpha, Omax) and persistence (breakpoint, Pmax) was observed. Both factors were associated with cannabis use and consequences in baseline regression models. At follow-up, persistence was associated with consequences; amplitude was not associated with either outcome. These findings provide initial evidence that the MPT is a valid measure for assessing cannabis demand among adolescents and can be used to understand mechanisms of adolescent cannabis use. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Behavioral economic relationship between cannabis and cigarettes: Evidence from hypothetical purchase tasks

BACKGROUND

In the United States (U.S), cannabis policies have been increasingly liberalized whereas tobacco policies have been increasingly stringent. Given the high prevalence of cannabis and tobacco dual use, there are concerns that a policy regulating one substance may unintendedly influence the other. This study examined the responsiveness of the demand for cannabis joints and cigarettes when price varied.

METHODS

The study included 338 adult participants (21+) who used both cannabis and tobacco and lived in one of the U.S. states with recreational cannabis legalized by the time of interview in 2019. They completed hypothetical purchase tasks to indicate the quantity desired of cannabis joints and cigarette packs 1) when only one substance was available with escalating prices and 2) when both substances were concurrently available with escalating prices of cannabis joints and a fixed price of cigarette packs. We estimated 1) the own-price elasticity of demand for each substance using nonlinear exponential demand model, and 2) the cross-price elasticity of demand at aggregate level using nonlinear exponential demand model and at individual level using log-linear demand model.

RESULTS

The estimates for the rate of change of own-price elasticity (α) were 0.0011 (SE = 0.000039, p < 0.001) for cannabis joints and 0.00095 (SE = 0.000037, p < 0.001) for cigarette packs. The aggregate-level estimates of cross-price elasticity (I = 13.032, SE = 0.34, p < 0.001; β = 0.0029, SE = 0.0021, p > 0.05) suggest an independent relationship between the two substances. At individual level, 78.70% of the participants treated the two substances as independent, 17.46% as complements, and 3.85% as substitutes.

CONCLUSIONS

For most adults who used both cannabis and tobacco in the U.S., cannabis joints and cigarettes had an independent relationship. Policies regulating the price of cannabis may not have large unintended consequences on cigarette use.

Matching, behavioral economics, and teleological behaviorism: Final cause analysis of substance use and health behavior

Howard Rachlin and his contemporaries pioneered basic behavioral science innovations that have been usefully applied to advance understanding of human substance use disorder and related health behaviors. We briefly summarize the innovations of molar behaviorism (the matching law), behavioral economics, and teleological behaviorism. Behavioral economics and teleological behaviorism's focus on final causes are especially illuminating for these applied fields. Translational and applied research are summarized for laboratory studies of temporal discounting and economic demand, cohort studies of alcohol and other drug use in the natural environment, and experimental behavioral economic modeling of health behavior-related public health policies. We argue that the teleological behavioral perspective on health behavior is conducive to and merges seamlessly with the contemporary socioecological model of health behavior, which broadens the contextual influences (e.g., community, economic, infrastructure, health care access and policy) of individuals' substance use and other health risk behaviors. Basic-to-applied translations to date have been successful and bode well for continued applications of basic science areas pioneered by Howard Rachlin and his contemporaries.

Rationale and Design of an Ecological Momentary Assessment Study Examining Predictors of Binge Eating Among Sexual Minority and Heterosexual Young Women: Protocol for the Health and Experiences in Real Life (HER Life) Study

BACKGROUND

Previous research has identified health disparities between sexual minority and heterosexual women, including increased rates of obesity and binge eating in sexual minority women. Established predictors of binge eating behavior include negative emotions and sociocultural processes; however, these studies are generally conducted in samples of young women where sexual identity is not known or reported. There is a dearth of research evaluating how sexual minority-specific factors (eg, minority stress and connectedness to the lesbian, gay, bisexual, transgender, and queer community) may affect binge eating in sexual minority women. In addition, no studies have examined these processes in racially diverse samples or considered how intersecting minority identities (eg, Black and sexual minority) may affect eating behaviors.

OBJECTIVE

The Health and Experiences in Real Life (HER Life) Project aims to clarify real-world predictors of binge eating in young heterosexual and sexual minority women using ecological momentary assessment. The role of affective, social, and health behavior factors in binge eating will be examined for all women (aim 1), and sexual minority-specific predictors will also be considered for sexual minority women participants (aim 2). Person-level moderators of race, body- and eating-related factors, and sexual minority-specific factors will also be examined to better understand how real-world binge eating predictors may differ for various demographic groups (aim 3).

METHODS

Researchers aim to recruit 150 sexual minority and 150 heterosexual women from across the United States, including at least 50 Black women for each group, using web-based recruitment methods. The eligibility criteria include identifying as a woman, being aged between 18 and 30 years, and having had at least two binge eating episodes in the last 2 weeks. Participants must endorse being only or mostly attracted to men (considered heterosexual) or only or mostly attracted to women or having a current or most recent female partner (considered sexual minority). Eligible participants complete an initial web-based baseline survey and then 14 days of ecological momentary assessment involving the completion of a morning and before-bed survey and 5 prompted surveys per day as well as a user-initiated survey after binge eating episodes. The data will be analyzed using a series of multilevel models.

RESULTS

Data collection started in February 2021. We have currently enrolled 129 sexual minority women and 146 heterosexual women. Data collection is expected to conclude in fall 2022.

CONCLUSIONS

The Health and Experiences in Real Life Project aims to elucidate potential differences between sexual minority and heterosexual women in within-person factors predicting binge eating and inform eating disorder interventions for sexual minority women. The challenges in recruiting sexual minority women, including the determination of eligibility criteria and considerations for remote data collection, are discussed.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/41199.

Age differences in the behavioural economics of cannabis use: Do adolescents and adults differ on demand for cannabis and discounting of future reward?

BACKGROUND

Adolescence is a period of psychological and neural development in which harms associated with cannabis use may be heightened. We hypothesised that adolescent who use cannabis (adolescentsWUC) would have steeper delay discounting (preference for immediate over future rewards) and greater demand (relative valuation) for cannabis than adults who use cannabis (adultsWUC).

METHODS

This cross-sectional study, part of the 'CannTeen' project, compared adultsWUC (n = 71, 26-29 years old) and adolescentsWUC (n = 76, 16-17 years old), and gender- and age-matched adolescent (n = 63) and adult (n = 64) controls. AdolescentsWUC and adultsWUC used cannabis 1-7 days/week and were matched on cannabis use frequency (4 days/week). The Monetary Choice Questionnaire assessed delay discounting. A modified Marijuana Purchase Task (MPT) assessed cannabis demand in adolescentsWUC and adultsWUC. The MPT yielded five indices: intensity (amount of cannabis used at zero cost), O_max (total peak expenditure), P_max (price at peak expenditure), breakpoint (cost at which cannabis demand is suppressed to zero) and elasticity (degree to which cannabis use decreases with increasing price). Analyses were adjusted for covariates of gender, socioeconomic status, other illicit drug use.

RESULTS

Both adolescentsWUC and adultsWUC had steeper delay discounting than controls (F, (1,254)= 9.13, p = 0.003, η_p²= 0.04), with no significant age effect or interaction. AdolescentsWUC showed higher intensity (F, (1,138)= 9.76, p = 0.002, η_p²= 0.07) and lower elasticity (F, (1,138)= 15.25, p < 0.001, η_p²= 0.10) than adultsWUC. There were no significant differences in P_max, O_max or breakpoint.

CONCLUSION

Individuals who use cannabis prefer immediate rewards more than controls. AdolescentsWUC, compared to adultsWUC, may be in a high-risk category with diminished sensitivity to cannabis price increases and a greater consumption of cannabis when it is free.

Cannabis Use Disorder: A Behavioral Economic Perspective

Purpose of Review

To explore relations between behavioral economic demand for cannabis and cannabis use disorder (CUD). Prior reviews have focused on drug demand in relation to use outcomes more generally. Complementing and enhancing prior work synthesizing research on cannabis demand, the present review endeavors to determine whether specific demand indices derived from the marijuana purchase task are most reliably related to CUD. Additionally, sociodemographic characteristics of participants in these studies were reviewed to identify whether certain populations were underrepresented in behavioral economic cannabis research.

Recent Findings

Behavioral economic demand is related to CUD; intensity and elasticity of cannabis demand were consistently associated with CUD diagnosis and severity. However, frequently, only select demand indices were assessed or reported, precluding the ability to confirm which indices are superior for denoting CUD risk. Further, most studies enrolled samples that were predominately young adults, Caucasian, and male.

Summary

As CUD becomes more prevalent in the wake of cannabis legalization, identification of robust predictors of CUD risk is paramount. Cannabis demand is consistently associated with CUD; however, individual indices of import in this relationship remain ambiguous. Subsequent research is needed to confirm index-specific markers of disordered cannabis use, and whether links between demand and CUD generalize across diverse populations.

Characteristics that influence purchase choice for cannabis products: a systematic review

Introduction

When non-medical cannabis use became legal, government regulators implemented policies to encourage safer consumption through access to a regulated market. While this market is growing, sales still occur through unregulated channels. This systematic review identifies factors influencing cannabis purchasing to help policymakers understand why consumers still purchase illicit market cannabis (registered with PROSPERO CRD42020176079).

Methods

A comprehensive search strategy included databases in health, business, and social science fields (inception to June 2020). Studies were eligible for inclusion if they were conducted with persons who purchase cannabis and examine at least one attribute that would influence purchase choice and were published in the English language. Studies could be of any methodological design. Two independent reviewers completed two levels of screening, and all extraction was verified by a second reviewer. A qualitative synthesis of the findings was completed. The quality of the included studies was assessed using the Mixed Methods Appraisal Tool.

Results

Of the 4839 citations screened, 96 were eligible for full-text review and 35 were included in the final synthesis. Aspects of price were the most common factors (27 studies). Twenty studies measured price elasticity; most studies found that demand was price inelastic. Many other attributes were identified (e.g., product quality, route of administration, product recommendations, packaging), but none were explored in depth. Eleven studies addressed aspects of product quality including demand elasticity based on quality, potency, and aroma. Studies also explored consumer-perceived “quality” but provided no definition; differences in quality appeared to impact consumer choice. Smoking cannabis appeared to be the preferred route of administration but was only examined in three studies. There was insufficient data to understand in the impact of other attributes on choice. There appeared to be preference heterogeneity for different attributes based on the consumer’s experience, reason for use, and gender.

Conclusion

While price influences choices, demand is relatively inelastic. This suggests that consumers may be seeking lowest-cost, unregulated cannabis to avoid reducing consumption. Beyond price, there is a significant gap in our understanding of consumer choices. Perceived quality does appear to impact choice; however, more research is needed due to the lack of a recognized definition for cannabis quality.

Supplementary Information

The online version contains supplementary material available at 10.1186/s42238-022-00117-0.

Getting high to cope with COVID-19: Modelling the associations between cannabis demand, coping motives, and cannabis use and problems

During the COVID-19 pandemic, people may use substances like cannabis for enhancement or coping purposes. Behavioral economic demand for a substance is a key determinant of its use and misuse and can be measured via hypothetical purchase tasks. Previous research suggests that motivations to use a substance play a mediational role between elevated substance demand and problems, but comparable mechanistic research has yet to be done in the COVID-19 context and on the effects of cannabis demand on cannabis use patterns. Participants (n = 137) were recruited via the online crowdsourcing platform Prolific. Participants completed measures of cannabis use and problems, motivations for cannabis use, and the Marijuana Purchase Task. Two indices of demand, Persistence (i.e., sensitivity to increasing cost of cannabis) and Amplitude (i.e., consumption of cannabis at unrestricted cost), were related to increased cannabis problems via the use motive of coping during the COVID-19 pandemic. This model did not support the mediational role of enhancement motives. Those with increased cannabis demand who tend to use cannabis to cope are at increased risk of experiencing negative cannabis-related consequences during the COVID-19 pandemic.

Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction

Behavioral economic demand methodology is increasingly being used in various fields such as substance use and consumer behavior analysis. Traditional analytical techniques to fitting demand data have proven useful yet some of these approaches require preprocessing of data, ignore dependence in the data, and present statistical limitations. We term these approaches "fit to group" and "two stage" with the former interested in group or population level estimates and the latter interested in individual subject estimates. As an extension to these regression techniques, mixed-effect (or multilevel) modeling can serve as an improvement over these traditional methods. Notable benefits include providing simultaneous group (i.e., population) level estimates (with more accurate standard errors) and individual level predictions while accommodating the inclusion of "nonsystematic" response sets and covariates. These models can also accommodate complex experimental designs including repeated measures. The goal of this article is to introduce and provide a high-level overview of mixed-effects modeling techniques applied to behavioral economic demand data. We compare and contrast results from traditional techniques to that of the mixed-effects models across two datasets differing in species and experimental design. We discuss the relative benefits and drawbacks of these approaches and provide access to statistical code and data to support the analytical replicability of the comparisons.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40614-021-00299-7.

The effect of next day responsibilities and an adaptive purchase task on cannabis demand

BACKGROUND

The marijuana purchase task (MPT) is a commonly used behavioral economic measure of relative cannabis value (i.e. demand) that presents specific methodological concerns due to non-standardized measurement, variability in modality of use, and evolving legalization policies. Refinement of the task is critical to improve task ecological validity and accurate measurement of cannabis demand. The present study examined the construct validity of an adaptive MPT that allowed for participant selection of their preferred cannabis-based product and unit of measurement and the effect of next-day responsibilities on demand.

METHODS

Participants reporting at least monthly cannabis use (N = 186, 40.3 % women, Mage = 33.59) were recruited via Amazon Mechanical Turk and completed the original MPT and our adaptive form with 2 next-day responsibilities scenarios (no responsibilities vs. morning job interview) for each MPT. Cannabis use motives, problems, and risk for cannabis use disorder were also assessed.

RESULTS

Cannabis demand was sensitive to next-day responsibility, with higher hypothetical consumption observed in the no responsibilities condition. Responsibility-related decreases in Omax (F(1,185) = 4.83, p = .029, η2p = .03) were significantly greater on the adaptive MPT than the original MPT. Demand indices derived from the adaptive MPT were significantly correlated with cannabis problems (rbreakpoint = .19, rPmax = 0.18, relasticity=-0.18) and motives (rrange=-.32-.25), and demand metrics from the original MPT.

CONCLUSIONS

Results provide preliminary support for the construct validity of an adaptive MPT and suggest that early-morning work responsibilities may reduce cannabis demand. Continued research is needed to further refine this task and determine implications for cannabis use disorder intervention and prevention approaches.

Patterns of same-day alcohol and cannabis use in adolescents and young adults with risky alcohol use

Same-day alcohol and cannabis use is relatively common in adolescents and young adults, constituting a higher-risk behavior relative to single-substance use. However, the association between quantity of alcohol and cannabis use on co-use days is understudied. We examined the association between the quantity of alcohol and same-day cannabis use with a multilevel regression analysis in a sample of youth (16-24 years old) with risky alcohol use. Participants reported one or more days of alcohol and cannabis over the past month (N = 468). Quantity of cannabis use was highest on heavy drinking days [M = 0.91 grams, SD = 0.68] followed by moderate drinking days (M = 0.78 grams, SD = 0.63), and lowest on days without alcohol use (M = 0.74 grams, SD = 0.64, p < 0.001). In multilevel modeling analyses, adjusted for clustering within individuals, greater quantity of drinking on a given day was associated with greater cannabis use (estimate = 0.03, p < 0.001). When using alcohol and cannabis on the same day, greater alcohol use was associated with greater cannabis use. Preventing days of heavy use of multiple substances, particularly among at-risk drinkers, may complement interventions addressing co-use generally to prevent substance-related consequences.

Do schizotypy features predict cannabis problems in partnered community adults?

Schizotypy and its associated features-negative schizotypy, disorganization, and positive schizotypy-are correlated with increased cannabis use. Yet, it is unclear whether cannabis users with schizotypy are at greater risk of developing cannabis problems. Individuals with elevated schizotypy may be particularly vulnerable to cannabis problems. It is important to understand this association given the unknown harms of chronic cannabis use. Data for these analyses were drawn from a larger investigation of cannabis use in adult romantic relationships. Participants were community adults (N = 366; M Age = 24.6, SD = 3.1) who reported regular use of cannabis. Participants completed baseline surveys measuring cannabis use frequency, problems, and schizotypy. Follow-up assessments of cannabis problems and frequency were completed 4-, 7- and 10-months post-baseline. Multiple regression was used to test the effect of schizotypy-measured using the Schizotypal Personality Questionnaire-Brief (SPQ-B, Raine & Benishay, 1995)-on cannabis use problems controlling for 30-day cannabis use. At baseline, disorganization and positive schizotypy were associated with cannabis use, primarily for women. Results revealed that with cannabis use frequency in the model, the Disorganization subscale of the SPQ-B predicted cannabis problems at baseline and all 3 follow-up assessments. Results are consistent with research suggesting that those exhibiting odd behaviors report more problematic cannabis use. Future research may further this line of inquiry with a focus on longitudinal, reciprocal relationships among schizotypy features, cannabis use, and cannabis problems.

Piloting a brief intervention plus mobile boosters for drug use among emerging adults receiving emergency department care

PURPOSE

There are few efficacious prevention interventions for emerging adults (ages 18-25) drug use and concomitant risks (e.g., sexual risk behaviors). We developed and evaluated the feasibility and acceptability of an Emergency Department (ED)-initiated brief intervention (BI) combined with booster messaging as a clinician-extender primarily focusing on drug use, with a secondary focus on condomless sex. We examined descriptive outcomes of alcohol, drug use, and condomless sex.

PROCEDURES

We recruited N = 63 emerging adults who used drugs (primarily cannabis) from an ED (72.4 % participation rate). Their mean age was 21.7 years (SD = 2.3); 67 % were female and 52.4 % were Black/African American. Participants randomized to the intervention (N = 31) received a BI and 28 days of tailored booster messaging (based on drug use motives) daily, and the control condition received a community resource brochure. A post-test occurred at 1-month with a follow-up at 2-months.

RESULTS

The intervention was well-received (83.9 % allocated completed the BI) with 79 % overall liking the BI and 71 % finding it helpful to discuss substances. Mean ratings of booster messages were >4.0 (5-point scale); 77 % liked the daily messages and 91 % found them helpful. Descriptively, the intervention group evidenced absolute reductions over time on alcohol outcomes, cannabis use, and condomless sex.

CONCLUSIONS

This BI with booster messages was feasible and acceptable in the target population of emerging adults who use drugs (i.e., mostly cannabis). This intervention model, initiated during a healthcare visit and accompanied by a clinician-extender, should be tested in a future fully-powered trial.

Demand curve analysis of marijuana use among persons living with HIV

BACKGROUND

Despite medicalization and legalization of marijuana use, factors influencing demand for marijuana among persons living with HIV (PLWH) are incompletely understood. This knowledge gap undermines effective clinical management and policies. This study used demand curve simulation methods to address these issues.

METHODS

Marijuana-using PLWH (N = 119) completed experimental tasks to simulate amount of marijuana purchasing/use across different costs (money or time), and likelihood of reselling marijuana or marijuana therapeutic-use registration card in relation to profits. Additional simulations assessed purchasing of marijuana relative to other drug and non-drug goods.

RESULTS

Simulated marijuana use decreased as money and time costs increased. Consumption was greater for participants with more severe Cannabis Use Disorder (CUD) and anxiety, intermediate pain levels, and past 90-day opioid use. Whereas few participants chose to sell their registration card, marijuana resale (diversion) steeply increased with profit. Likelihood of seeking marijuana therapeutic-use certification decreased in relation to registration card money cost, having to visit more physicians to get a signature, and delay to receiving the card, and increased with duration of certification. Participants who reported recent opioid use were more likely to seek certification. Consumption of several commodities assessed was independent of marijuana.

CONCLUSIONS

Simulated marijuana use was related to participants' clinical profile (CUD, anxiety and pain symptoms, recent opioid use), and unrelated to purchasing other goods. Likelihood of seeking marijuana therapeutic-use registration was affected by several types of costs and recent opioid use. Participants were unlikely to divert registration cards. We discuss clinical and policy implications of these findings.

The importance of psychology for shaping legal cannabis regulation

Different patterns of cannabis use can be traced directly back to different interactions between 2 types of variables: pharmacological and environmental. As legal cannabis expands in the U.S. and around the world, state and national regulatory agencies are gaining control over these variables. Specifically, regulatory agencies are increasingly capable of altering (a) the pharmacological properties of cannabis products and (b) the way these products are distributed to the population. Consequently, cannabis regulatory agencies are in a unique position to use evidence from psychological science to alter cannabis consumption patterns in ways that mitigate potential harm to public health. However, most state-level legal cannabis regulatory systems in the U.S. are not yet evidence-based or public health-oriented. This applied review and commentary draws on evidence from the psychological science literature to help regulators better understand the types of behaviors they must address and guide empirically supported regulation of THC-laden cannabis, whether used putatively for medical or recreational reasons. This review is organized into 3 parts that correspond to the 3 primary agents within the cannabis regulation ecosystem: (a) the cannabis consumer, (b) the cannabis industry, and (c) the cannabis regulatory agency. Within this structure, the review addresses critical psychological variables that drive cannabis consumer and industry behaviors and discusses how regulatory agencies can use this information to protect public health. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Refining the marijuana purchase task: Using qualitative methods to inform measure development

Behavioral economic demand for cannabis (i.e., relative reinforcing value) can be measured via marijuana purchase tasks (MPTs). However, commodity ambiguities pose challenges and design concerns exist regarding current MPTs. The aim of this 2-phase study was to modify and improve a MPT using qualitative methods. Phase I: Focus groups were conducted with regular (i.e., average use ≥ once/week) cannabis users (n = 31; 6-7 per group M[SD] age = 26 [7]; 28% female). Focus groups followed a semistructured agenda, and executive summaries were made concerning key MPT themes. Feedback was used to refine the MPT. Phase II: Cognitive interviews using the refined MPT were conducted with regular cannabis users (n = 20; M[SD] age = 28 [8]; 50% female). Phase I: Focus group analyses highlighted 4 critical areas for MPT improvement: (a) unit of purchase, (b) cannabis quality, (c) time duration specified for use episode, and (d) price. Participants suggested using grams as the unit of purchase, tailoring cannabis quality to the individual, and clarifying intended episode length. Phase II: Cognitive interviewing indicated additional areas for task refinement, resulting in a second iteration of the MPT based on the 2 phases. Qualitative research in both phases suggested a number of substantive modifications to the MPT format. MPT modifications are expected to improve comprehension, ecological validity, and general construct validity. Findings highlight the importance of careful instructional set development for drug purchase tasks for heterogeneous products that do not have standard units of consumption. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Alcohol and cannabis motives: Differences in daily motive endorsement on alcohol, cannabis, and alcohol/cannabis co-use days in a cannabis-using sample

OBJECTIVE

Same day use of alcohol and cannabis is prevalent among emerging/young adults and increases the risk for negative consequences. Although motives for alcohol and cannabis use are well-documented, specific motives on co-use days are under-investigated. We examined differences in motives on single substance use (i.e., alcohol or cannabis) versus co-use days in a sample of primarily cannabis-using emerging/young adults.

METHODS

Participants (N=97) aged 18-25 (M_age=22.2) were recruited from an urban Emergency Department (55.7% female, 46.4% African American, 57.7% public assistance) for a prospective daily diary study about risk behaviors. Participants received prompts for 28 daily text message assessments (up to 2716 surveys possible) of substance use and motives (social, enhancement, coping, conformity). We divided use days into three groups: alcohol use only (n=126), cannabis use only (n=805), and co-use (n=237). Using fixed effects regression modeling, we fit models to estimate within-person effects of alcohol and cannabis motives on day type (alcohol/cannabis co-use versus single use).

RESULTS

In adjusted models, greater cannabis-related enhancement and social motives were associated with increased likelihood of co-use days compared to cannabis-only days. In contrast, greater alcohol-related social motives were associated with co-use days versus alcohol-only days in unadjusted, but not in adjusted models.

CONCLUSIONS

Findings suggest that cannabis use motives associated with increasing positive affect may be most compelling for those engaging in alcohol/cannabis use on a given day. Intervention programs for alcohol/cannabis use should address alcohol and cannabis use motives in relation to increasing positive affect and engaging in social situations.

Impact of sugar taxes and front-of-package nutrition labels on purchases of protein, calcium and fibre

Taxes and front-of-package (FOP) labels can be effective interventions for reducing consumption of sugar, saturated fat, and sodium; however, few studies have examined their impact on intake of 'positive' nutrients. The current study explored the impact of sugar taxes and FOP labels on the protein, calcium and fibre density of snack food purchases. A total of 3584 Canadians aged 13 years and older participated in an experimental marketplace using a 3 × 8 between-within group experiment. Participants received $5 and viewed images of 20 snack food products available for purchase. Participants were randomized to one of five FOP label conditions (no label, high in, multiple traffic light, health star rating, or nutrition grade) and completed three within-subject purchasing tasks with different sugar tax conditions (no tax, 20%, tiered). Upon conclusion, participants received the product and any change from one of the purchasing tasks. The results indicate that participants purchased snack foods with higher fibre density when either sugar tax was applied (+0.1 g/100 kcal) compared to no tax, and when they were assigned to see the multiple traffic light (+0.4 g/100 kcal) or health star rating (+0.3 g/100 kcal) FOP labels, compared to no FOP label. There were no significant differences in the protein or calcium density of snack foods purchased across the tax or FOP labelling conditions. Overall, the findings suggest that as consumers respond to tax or labelling policies by moving away from sugars, sodium, and saturated fat, there may be no downside-or even an increase-in 'positive' nutrient density.

The Hotel Room Purchase Task: Effects of Gender and Partner Desirability on Demand for Hypothetical Sex in Individuals with Disordered Cocaine Use and Controls

Hypothetical purchase tasks allow for rapid assessment of behavioral economic demand for numerous commodities and are useful in evaluating reinforcer pathologies, such as substance and behavioral addiction. Currently, there is not a task for evaluating demand for sex without requiring implicit engagement in sex work. The current study used a novel purchase task with hotel rooms for sex as the hypothetical commodity to assess demand for sex in individuals with disordered cocaine use, a population that frequently engages in risky sexual behavior. Adults meeting criteria for cocaine abuse or dependence (13 males, ten females) and noncocaine-using controls (eight males, three females) chose hypothetical sexual partners from a series of photographs and endorsed two partners with whom they would most and least like to have sex. Participants then completed the hotel purchase task for both partners, wherein they reported how many nights at a hotel room, at prices from $10 to $1280 per night, they would purchase in a year. Demand intensity was significantly greater and demand elasticity was significantly lower for the most preferred relative to the less preferred partner. Males demonstrated significantly greater intensity and lesser elasticity for sex than females. Demand metrics did not differ between the cocaine and control group. This task may serve as a useful measure of demand for sex without requiring implicit hypothetical engagement in sex work. Future studies exploring the relation between task performance and other characteristics such as sexual dysfunction, in addition to acute substance administration effects, may further determine the task's clinical utility.

The condom purchase task: A hypothetical demand method for evaluating sexual health decision-making

Behavioral economic theory has proved useful for understanding the influence of delay and probability on sexual health decision-making. Demand is another principle at the intersection of microeconomics and psychology that has helped advance research relevant to health behaviors. The purpose of the present study was to develop and test a demand measure related to sexual health decision-making and the influence of sexually transmitted infection (STI) risk. Participants (N = 438) recruited using Amazon Mechanical Turk completed a commodity purchase task assessing hypothetical condom demand. Condom demand was evaluated at varied prices for use with hypothetical sexual partners that varied in STI risk. Demand was characterized by prototypic decreases in consumption with increases in cost. Higher partner STI risk was associated with greater intentions for condom-protected sex at no cost and smaller decreases in condom demand with increases in cost. Price sensitivity was also related to individual difference factors relevant to sexual health (e.g., alcohol use severity, lower STI knowledge). This study supports the utility of a condom purchase task for indexing condom valuation and capturing individual difference and contextual risk factors relevant to STI transmission. Future studies may leverage this methodology as a means to study sexual health decision-making.

Assessing Cannabis Demand: A Comprehensive Review of the Marijuana Purchase Task

The marijuana purchase task (MPT) is a behavioral economic measure of individualized cannabis value (i.e., demand). The MPT follows purchase tasks for other substances (e.g., alcohol, tobacco), though presents with unique caveats due to its mixed illicit status, non-uniform units of purchase and use, and substantial within substance variability in strain, potency, and quality. As the regulatory climate surrounding purchase and use of cannabis continues to evolve in the USA and globally, rigorous assessment of cannabis use and value are of the utmost importance. This study represents the first comprehensive review of investigations utilizing the MPT. Searches through PubMed and Web of Science databases by two independent coders identified 15 empirical articles referencing the use of an MPT and were published through the year 2019. Articles were coded for demographic and procedural characteristics, structural characteristics of the MPT itself, data analytic characteristics, and relationships with cannabis-related outcomes. Rigorous assessment of demand for cannabis is essential with respect to the broad public health issues surrounding cannabis legalization. We have synthesized the research presented herein and comment on vital considerations for subsequent MPT work, including recommendations for a unified approach to using the MPT in subsequent research.

Behavioral economic demand assessments in the addictions

Behavioral economics in the addictions is the application of both economics and psychology to study multifaceted components of substance use decision-making behavior. One such component is demand: the relative value of a substance for a user (i.e., the association between drug use and cost). The degree to which a user values a substance can be measured via performance on hypothetical purchase tasks which replicate drug purchase and consumption. Demand has been evaluated across substances, including alcohol, marijuana, tobacco, and alternative tobacco products. Recent advances in the study of demand have greatly improved the assessment of drug value, including application to novel products, selection of optimal task unit, assessment of demand in naïve or potential future users, and the importance of instructional set specificity.

A cluster analysis of text message users based on their demand for text messaging: A behavioral economic approach

The goal of this study was to determine whether cluster analysis could be used to identify distinct subgroups of text message users based on behavioral economic indices of demand for text messaging. Cluster analysis is an analytic technique that attempts to categorize cases based on similarities across selected variables. Participants completed a questionnaire about mobile phone usage and a hypothetical texting demand task in which they indicated their likelihood of paying an extra charge to continue to send text messages. A hierarchical cluster analysis was conducted on behavioral economic indices, such as demand intensity, demand elasticity, breakpoint, and the maximum expenditure. With the cluster analysis, we identified 3 subgroups of text message users. The groups were characterized by (a) high intensity and low elasticity, (b) high intensity and medium elasticity, and (c) low intensity and high elasticity. In a demonstration of convergent validity, there were statistically significant and conceptually meaningful differences across the subgroups in various measures of mobile phone use and text messaging. Cluster analysis is a useful tool for identifying and profiling distinct, practically meaningful groups based on behavioral indices and could provide a framework for targeting interventions more efficiently.

Sensitivity of hypothetical purchase task indices when studying substance use: A systematic literature review

Hypothetical Purchase Tasks (HPTs) simulate demand for a substance as a function of escalating price. HPTs are increasingly used to examine relationships between substance-related correlates and outcomes and demand typically characterized using a common battery of indices (Intensity, Omax, Pmax, Breakpoint, Elasticity). This review examines the relative sensitivity of the HPT indices. Reports were identified using the search term "purchase task" in PubMed and Web of Science. For inclusion, reports had to be original studies in English, examine relationships between HPT indices and substance-related correlates or outcomes, and appear in a peer-reviewed journal through December 2017. Indices were compared using effect sizes (Cohen's d) and the proportion of studies in which statistically significant relationships were observed. The search identified 1274 reports with 114 (9%) receiving full-text review and 82 (6%) meeting inclusion criteria. 41 reports examined alcohol, 34 examined cigarettes/nicotine products, and 10 examined other substances. Overall, statistically significant relationships between HPT indices and substance-related correlates and outcomes were most often reported for Intensity (88.61%, 70/79), followed by Omax (81.16%, 56/69), Elasticity (72.15%, 57/59), Breakpoint (62.12%, 41/66), and Pmax (48.08%; 25/52). The largest effect sizes were observed for Intensity (0.75 ± 0.04, CI 0.67-0.84) and Omax (0.64 ± 0.04, CI 0.56-0.71), followed by Elasticity (0.44 ± 0.04, CI 0.37-0.51), Breakpoint (0.30 ± 0.03, CI 0.25-0.36), and Pmax (0.25 ± 0.04, CI 0.18-0.33). Patterns were largely consistent across substances. In conclusion, HPTs can be highly effective in revealing relationships between demand and substance-related correlates and outcomes, with Intensity and Omax exhibiting the greatest sensitivity.

Behavioral economic demand for alcohol among young adults who engage in simultaneous alcohol and marijuana use

Background: Young adults (YAs) who engage in simultaneous alcohol and marijuana use (SAM) may combine substances due to enhanced subjective effects, and as a result, may place greater value (e.g., spend more resources) on alcohol relative to YAs who consume alcohol but do not engage in SAM. The aim of the current study was to evaluate behavioral economic demand for alcohol among YAs who reported SAM (n = 101) relative to alcohol use only (n = 316), and concurrent alcohol and marijuana use (CAM; n = 63). Methods: YAs (18-25 years old) recruited from the community completed an online assessment that included the Alcohol Purchase Task as well as past month alcohol, marijuana, and SAM use. Results: Analyses of covariance demonstrated that YAs who reported SAM had significantly higher O_max values (maximum overall expenditures on alcohol) than those who reported CAM, and both YAs who reported SAM and alcohol-only had significantly higher P_max values (maximum inelastic price per drink) than YAs who reported CAM. Conclusions: YAs that engage in SAM show an increased willingness to spend resources on alcohol. Elevated demand is not associated with concurrent use of multiple substances, but rather the combined (i.e., overlapping) use of substances.

Taxes and front-of-package labels improve the healthiness of beverage and snack purchases: a randomized experimental marketplace

BACKGROUND

Sugar taxes and front-of-package (FOP) nutrition labelling systems are strategies to address diet-related non-communicable diseases. However, there is relatively little experimental data on how these strategies influence consumer behavior and how they may interact. This study examined the relative impact of different sugar taxes and FOP labelling systems on beverage and snack food purchases.

METHODS

A total of 3584 Canadians 13 years and older participated in an experimental marketplace study using a 5 (FOP label condition) × 8 (tax condition) between-within group experiment. Participants received $5 and were presented with images of 20 beverages and 20 snack foods available for purchase. Participants were randomized to one of five FOP label conditions (no label; 'high in' warning; multiple traffic light; health star rating; nutrition grade) and completed eight within-subject purchasing tasks with different taxation conditions (beverages: no tax, 20% tax on sugar-sweetened beverages (SSBs), 20% tax on sugary drinks, tiered tax on SSBs, tiered tax on sugary drinks; snack foods: no tax, 20% tax on high-sugar foods, tiered tax on high-sugar foods). Upon conclusion, one of eight selections was randomly chosen for purchase, and participants received the product and any change.

RESULTS

Compared to those who saw no FOP label, participants who viewed the 'high in' symbol purchased less sugar (- 2.5 g), saturated fat (- 0.09 g), and calories (- 12.6 kcal) in the beverage purchasing tasks, and less sodium (- 13.5 mg) and calories (- 8.9 kcal) in the food tasks. All taxes resulted in substantial reductions in mean sugars (- 1.4 to - 4.7 g) and calories (- 5.3 to - 19.8 kcal) purchased, and in some cases, reductions in sodium (- 2.5 to - 6.6 mg) and saturated fat (- 0.03 to - 0.08 g). Taxes that included 100% fruit juice ('sugary drink' taxes) produced greater reductions in sugars and calories than those that did not.

CONCLUSIONS

This study expands the evidence indicating the effectiveness of sugar taxation and FOP labelling strategies in promoting healthy food and beverage choices. The results emphasize the importance of applying taxes to 100% fruit juice to maximize policy impact, and suggest that nutrient-specific FOP 'high in' labels may be more effective than other common labelling systems at reducing consumption of targeted nutrients.

A Behavioral Economic Analysis of Demand for Texting while Driving

The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task designed to quantify the intensity and elasticity of the demand for social interaction from texting while driving. This task involved a scenario in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the amounts of a fine for texting while driving ranged from $1 to $300. To assess the construct validity of the task, the scenario presented two delays to a destination (15 min and 60 min). The demand for social interaction from texting was more intense (greater at the lowest amount of the fine) and less elastic (less sensitive to the increase in the amounts of the fine) for drivers who self-reported a higher frequency of texting while driving than for those who self-reported a lower frequency of texting while driving. Demand was also more intense and less elastic under the 60-min delay condition than under the 15-min condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving.

Examining cannabis protective behavioral strategy use using multiple methods

Purpose –

Cannabis use among young adults is increasing, despite being associated with several negative consequences. Protective behavioral strategies (PBSs) are a potential mechanism of behavior change for reducing substance use, yet PBS use for cannabis is not well understood. The purpose of this paper is to further define and measure the PBS construct for cannabis.

Design/methodology/approach –

A community sample of cannabis users (n = 54) participated in eight focus groups discussing the use of PBSs. Participants completed surveys regarding demographics, cannabis use habits and cannabis problems. The authors also administered an existing measure of cannabis PBS and asked them to generate new or unique protective strategies that they had used or had heard of others using.

Findings –

Thematic analysis of qualitative focus group data provided information about cannabis users' reasons for regulating cannabis use (e.g. health or legal problems, interpersonal) as well as strategies to moderate cannabis use or attenuate their risk for experiencing adverse consequences (e.g. distraction, existential/spiritual strategies). Analyses of quantitative survey data revealed that use of PBSs was negatively correlated with cannabis outcomes. Perceived helpfulness of strategies was an important predictor of decreased cannabis use and adverse consequences.

Research limitations/implications –

Findings expand the understanding of the definition and measurement of strategies for regulating cannabis use and reducing related risk of experiencing adverse consequences.

Originality/value –

This is the first study to examine cannabis-related PBS using both qualitative and quantitative methods, which provide insights into the definition of PBS and for future refinements of PBS measurement.

Availability of legalized cannabis reduces demand for illegal cannabis among Canadian cannabis users: evidence from a behavioural economic substitution paradigm

In the context of cannabis legalization, an important question among clinicians, policymakers, and the public is whether availability of legal cannabis will significantly reduce consumption (demand) of illegal cannabis. Using paradigms from behavioural economics, we tested the prediction that legal cannabis would be an asymmetrical substitute for illegal cannabis, with legal cannabis operating as a superior commodity based on its regulated status. In a sample of 289 adult cannabis users in Ontario, we found evidence of substitutability for both legal and illegal cannabis, but significantly lower substitutability of illegal for legal cannabis, a pattern that was also present for price elasticity (α) and P_max. Thus, the data indicated asymmetric substitution such that the availability of legal cannabis substantially decreased demand for illegal cannabis, but a significantly smaller effect in reverse. These results suggest that the introduction of legal cannabis into the market may disrupt and reduce illegal purchases, contributing to the reduction of the potential harms associated with the illegal market. However, in revealing price windows in which legal cannabis is preferred over the contraband alternative, these data also have significant implications for pricing policies.

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

BACKGROUND

Taxation and other policy measures have been implemented across the United States to curb the accessibility of substance use, especially among youth. While the inverse relationship between price and youth consumption is well known, available research on youth earned income and substance use is sparser, particularly among emerging adults.

OBJECTIVES

We examined the association between emerging adult past-year personal income and 30-day substance use.

METHODS

We analyzed data from Wave 5 (n = 2,202) of the NEXT Generation Health Study, an annual survey study administered to a nationally representative sample of emerging adults in the U.S. Wave 5 (mean age = 20.28 years, SE = 0.02 years) was administered during the 2013-2014 academic year. After grouping participants into five levels of self-reported, pre-tax personal income, we used binomial logistic regression to examine the association between personal income and cigarette smoking, marijuana use, alcohol use, and heavy episodic drinking (HED).

RESULTS

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.