Individual differences in legal and illicit cannabis purchasing behaviour in British Columbia, Canada: Findings from a 2021 cross-sectional survey.

BACKGROUND: Despite thousands of licensed cannabis retail stores operating across Canada, there remains a significant illicit cannabis market. Some cannabis users continue to buy cannabis from dealers, illicit stores, and/or illicit online retailers. METHODS: Data are from the 2021 British Columbia Cannabis Use Survey. Respondents (n = 8473) were 19 years or older, lived in British Columbia at the time of the survey, and reported using cannabis in the past 12 months. RESULTS: Buying cannabis from all types of illicit sources was more common among younger cannabis users, those who use cannabis more frequently and started using cannabis before the age of 17 (vs. 19 or older), and among those who co-use cannabis with other drugs. Specifically, buying cannabis from a dealer was more common among men, those with lower educational attainment, and those who seek the lowest prices when buying cannabis. In contrast, those using cannabis for medical (vs. non-medical) purposes were more likely to report getting cannabis from illicit retail stores, while buying cannabis from illicit websites was more common among people who use edible cannabis products. CONCLUSION: Consistent with other studies, younger and more frequent cannabis users were more likely to report buying cannabis from illicit sources. However, these findings suggest there is significant heterogeneity among those who buy cannabis from different types of illicit sources, which should be carefully considered when developing policies and strategies aimed at encouraging consumers to transition to legal sources.

Looking back from 2020, how cannabis use and related behaviours changed in Canada.

BACKGROUND: The Canadian government legalized non-medical cannabis use by adults in October 2018 to minimize associated harms and redirect profits from criminals. In October 2019, a wider array of products, including edibles, was legalized, with entry into the legal market beginning in December. DATA AND METHODS: Three quarters (the first quarters of 2018 and 2019 and the fourth quarter of 2020) of the National Cannabis Survey were used to examine changes in cannabis use (overall use and daily or almost daily (DAD) use), consumption methods, products and sources. RESULTS: Cannabis use in the past three months was higher in late 2020 (20.0%) than in 2019 (17.5%) and 2018 (14.0%), and this was particularly the case among: females (for whom rates rose to equal male rates for the first time), adults aged 25 and older, and some provinces. Similarly, DAD use, at 7.9% also increased. Higher percentages of Canadians reported getting at least some of their cannabis from legal sources or growing it, and fewer were relying on friends and family or illegal sources in 2020. DISCUSSION: This study spans three years-from before legalization to about two years after. It provides a more complete picture of the law's impact on cannabis use and related behaviours, given the more established legal cannabis industry better equipped to compete with the black market on price, convenience and selection. Findings demonstrate that change is continuing, and, as before, some cautions and assurances remain. The impact of the COVID-19 pandemic on cannabis use continues to be difficult to measure. Monitoring remains important, given the ever-changing provincial retail landscapes; the introduction of new products; and the pressure by the industry to remove or adjust potency limits, and allow widespread delivery, farm-gate sales and cannabis lounges.

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).

The costs and benefits of cannabis control policies
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As is the case for most drugs, cannabis use has costs and benefits, and so do the policies that attempt to minimize the first and maximize the second. This article summarizes what we know about the harmful effects of recreational cannabis use and the benefits of medical cannabis use under the policy of prohibition that prevailed in developed countries until 2012. It outlines three broad ways in which cannabis prohibition may be relaxed, namely, the depenalization of personal possession and use, the legalization of medical use, and the legalization of adult recreational use. It reviews evidence to date on the impacts of each of these forms of liberalization on the costs and benefits of cannabis use. It makes some plausible conjectures about the future impacts of the commercialization of cannabis using experience from the commercialization of the alcohol, tobacco, and gambling industries. Cannabis policy entails unavoidable trade-offs between competing social values in the face of considerable uncertainty about the effects that more liberal cannabis policies will have on cannabis use and its consequences for better or worse.
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El consumo de cannabis, como se da con la mayoría de las drogas, tiene costos y beneficios ; igual ocurre con las políticas que intentan minimizar los primeros y maximizar los segundos. Este artículo resume lo que conocemos acerca de los daños provocados por el consumo recreativo de cannabis y los beneficios de su empleo medicinal según la política de prohibición que prevaleció en los países desarrollados hasta 2012. Se describen tres principales formas en las que la prohibición de cannabis se puede mitigar: la despenalización de la posesión y uso personal, la legalización del uso médico, y la legalización del uso recreativo en adultos. Se revisa la evidencia hasta la fecha sobre los impactos de cada una de estas formas de liberalización en los costos y beneficios del consumo de cannabis. Se hacen algunas posibles conjeturas acerca de los impactos futuros de la comercialización de cannabis utilizando la experiencia al respecto de las industrias del alcohol, el tabaco y de los juegos de azar. Se sabe poco sobre el impacto de la liberalización del consumo de cannabis, así como de sus consecuencias positivas o negativas. Cualquier política sobre este tema implica compromisos inevitables entre valores sociales opuestos.

Comme pour la plupart des drogues, la consommation de cannabis a ses coûts et ses bénéfices. Tout comme les politiques qui s'efforcent de minimiser les premiers et de maximiser les seconds.. Nous résumons dans cet article nos connaissances sur les dangers de l'usage récréatif du cannabis et les bénéfices de son usage médical dans le cadre de la politique d'interdiction qui a prévalu dans les pays développés jusqu'en 2012. Nous y décrivons trois grandes voies d'assouplissement de l'interdiction du cannabis, à savoir la dépénalisation de la possession et de la consommation personnelles, la légalisation de l'utilisation médicale et la légalisation de la consommation récréative par des adultes. Chacune de ces formes de libéralisation influe sur les coûts et les bénéfices de la consommation de cannabis, générant des données analysées ici. En nous inspirant de l'expérience acquise dans le cadre de la commercialisation de l'alcool et la légalisation des jeux de hasard, nous émettons des hypothèses sur les possibles conséquences de la commercialisation du cannabis. L'impact de la libéralisation du cannabis sur sa consommation est peu connu, de même que ses conséquences pour le meilleur ou pour le pire, et toute politique menée à ce sujet implique des compromis inévitables entre des valeurs sociales opposées.

Availability of substances for use in personal vaporisers on three online cryptomarkets.

BACKGROUND: Personal vaporisers are gaining popularity as an alternative route of administration for a range of substances. Online cryptomarkets are becoming increasingly popular among people who use substances due to their perceived anonymity, ease of use, and reduced risk of violence compared to traditional face-to-face dealers. We examined the diversity of substances marketed for use in a personal vaporiser on these marketplaces. METHODS: Vaping related listings were extracted from three online cryptomarkets ('Agartha', 'Cryptonia', and 'Tochka') using The Onion Router browser. Data collection occurred between October and November 2019. RESULTS: We identified 1929 listings from 201 unique sellers. The top product on Agartha, Cryptonia, and Tochka were vape cartridges prefilled with the e-liquid (70.4 %, 39.4 %, 52.3 % respectively). The most common substance in these products was cannabis oil (96.1 %, 82.1 %, 87.8 %), followed by synthetic cannabinoids (3.7 %, 9.7 %, 9.8 %) and psychedelic substances (0.2 %, 6.4 %, 1.2 %). Vendors were primarily from the USA. Many products offered worldwide shipping (96.3 %, 42.4 %, 51.2 %). CONCLUSION: Vaping products listed on online cryptomarkets in 2019 primarily contained cannabis oils. Future studies should continue to examine cryptomarkets to identify emerging trends of substances that can be used in personal vaporisers.

The impacts of potency, warning messages, and price on preferences for Cannabis flower products.

BACKGROUND: Recreational cannabis has been legalized in 11 states and Washington DC in the US. However, little is known about individual preferences for legal cannabis products. This study estimated the impacts of tetrahydrocannabinol (THC), cannabidiol (CBD), warning messages, and price on preferences for cannabis flowers. METHODS: A cross-sectional online survey with discrete choice experiments was implemented in October 2017. A sample of 2400 adults aged 21 years or older were recruited from 6 US states with recreational cannabis legalization, consisting of 1200 past-year nonusers and 1200 past-year users. Each respondent was randomly assigned to 12 discrete choice scenarios, each asking them to choose from an opt-out option and 3 cannabis flower products with varying levels in THC, CBD, warning messages, and price. The impacts of product attributes on individual choices were analyzed with nested logit regressions. RESULTS: Both cannabis nonusers and users preferred higher CBD and lower price. Users also preferred higher THC. The results on warning messages were mixed: graphic warning on drugged driving and text warning message had positive impacts on nonusers' and users' preferences for cannabis flowers, respectively, whereas FDA disapproval disclaimer had negative impacts on nonusers' preferences. Heterogeneities in preferences were revealed among nonusers by former use status and among users by reason of use. Particularly, medical cannabis users were not as responsive to THC as recreational cannabis users or dual users were. Regarding relative importance of the attributes, all respondents but medical cannabis users perceived price as the most important attribute (relative importance 51-64%), whereas medical cannabis users perceived CBD as the most important attribute (relative importance 47%). CONCLUSION: The findings indicated that product characteristics may have influences on US adults' choices of legal cannabis flower products and may deserve consideration for cannabis regulatory framework.

Triangulating web & general population surveys: Do results match legal cannabis market sales?

BACKGROUND: This paper combines complementary attributes of web and general population surveys to estimate cannabis consumption and spending in Washington State. It compares those estimates to legal sales recorded by the state's seed-to-sale tracking system, and thus exploits a rare opportunity to contrast two independent estimates for the same cannabis market. This sheds light on the question of whether nontrivial amounts of black market sales continue even after a state allows licensed production and sale. METHODS: Prevalence of past-month use is estimated from the 2015/16 U.S. National Survey on Drug Use and Health, adjusted for under-reporting. Estimates of consumption and spending per user broken down by age, gender, and frequency of use are developed from RAND's 2013 survey of cannabis users in Washington State. Supply side estimates come from the Washington State Liquor and Cannabis Board's seed-to-sale tracking system. They are expressed in terms of spending, equivalent-weight of flowers, and THC, with THC for edibles imputed using a machine learning technique called random forests. RESULTS: For the period July 1, 2016 to June 30, 2017, Washington's seed-to-sale data record sales from licensed cannabis stores of $1.17B and across all products an amount of THC that is equivalent to roughly 120-150 MT of flower. Survey responses suggest that amounts spent and quantities consumed are larger than that, perhaps on the order of $1.66B and over 200 MT, respectively. CONCLUSION: A perfect match is not expected because of sales to tourists, residual black market activity, production for medical purposes, and diversion across state lines. Nonetheless, the results suggest that three years after state-licensed stores opened, there remained considerable consumption of cannabis supplied outside of the licensed system.

Evaluating non-medical prescription opioid demand using commodity purchase tasks: test-retest reliability and incremental validity.

RATIONALE: Non-medical prescription opioid use and opioid use disorder (OUD) present a significant public health concern. Identifying behavioral mechanisms underlying OUD will assist in developing improved prevention and intervention approaches. Behavioral economic demand has been extensively evaluated as a measure of reinforcer valuation for alcohol and cigarettes, whereas prescription opioids have received comparatively little attention. OBJECTIVES: Utilize a purchase task procedure to measure the incremental validity and test-retest reliability of opioid demand. METHODS: Individuals reporting past year non-medical prescription opioid use were recruited using the crowdsourcing platform Amazon Mechanical Turk (mTurk). Participants completed an opioid purchase task as well as measures of cannabis demand, delay discounting, and self-reported pain. A 1-month follow-up was used to evaluate test-retest reliability. RESULTS: More intense and inelastic opioid demand was associated with OUD and more intense cannabis demand was associated with cannabis use disorder. Multivariable models indicated that higher opioid intensity and steeper opioid delay discounting rates each significantly and uniquely predicted OUD. Increased opioid demand intensity, but not elasticity, was associated with higher self-reported pain, and no relationship was observed with perceived pain relief from opioids. Opioid demand showed acceptable-to-good test-retest reliability (e.g., intensity rxx = .75; elasticity rxx = .63). Temporal reliability was lower for cannabis demand (e.g., intensity rxx = .53; elasticity rxx = .58) and discounting rates (rxx = .42-.61). CONCLUSIONS: Opioid demand was incrementally valid and test-retest reliable as measured by purchase tasks. These findings support behavioral economic demand as a clinically useful measure of drug valuation that is sensitive to individual difference variables.

Among whom is cigarette smoking declining in the United States? The impact of cannabis use status, 2002-2015.

OBJECTIVES: To 1) estimate changes in the prevalence of daily and non-daily cigarette smoking among current (past 30-day) daily, non-daily, and non-cannabis users in the United States (U.S.) population; 2) examine time trends in current (past 30-day) cigarette smoking in daily, non-daily, and non-cannabis users ages 12+ from 2002 to 2015. METHODS: Data collected annually from the 2002 to 2015 National Survey on Drug Use and Health (NSDUH) were employed. Linear time trends of daily and non-daily cigarette smoking were assessed using logistic regression with year as the predictor. RESULTS: In 2015, the prevalence of current (past 30-day) cigarette smoking was highest among daily (54.57%), followed by non-daily (40.17%) and non-cannabis users (15.06%). The prevalence of non-daily cigarette smoking increased among daily cannabis users from 2002 to 2015, whereas non-daily cigarette smoking declined among non-daily cannabis users and non-cannabis users from 2002 to 2015. Daily cigarette smoking declined among both cannabis users and non-users; the most rapid decline was observed among daily cannabis users, followed by non-daily and then by non-cannabis users. However, the relative magnitude of the change in prevalence of daily cigarette smoking was similar across the three cannabis groups. CONCLUSIONS: Despite ongoing declines in cigarette smoking in the U.S., non-daily cigarette smoking is increasing among current cannabis users, a growing proportion of the U.S. POPULATION: Daily and non-daily cigarette smoking continue to decline among those who do not use cannabis. Efforts to further tobacco control should consider novel co-use-oriented intervention strategies and outreach for the increasing population of cannabis users.

"The difference is in the tomato at the end": Understanding the motivations and practices of cannabis growers operating within Belgian Cannabis Social Clubs.

BACKGROUND: In Belgium, Cannabis Social Clubs (CSCs) collectively organize the cultivation and distribution of cannabis for the personal use of their members. In this paper we seek to improve understanding of the motivations and practices of cannabis growers operating within CSCs, shedding light on the cultivation process. METHODS: We draw on data gathered through face-to-face semi-structured interviews with the directors of seven active Belgian CSCs (n = 21) and CSC growers (n = 23). These data are complemented by additional fieldwork and a review of policies relating to CSCs', including bylaws and growing protocols. FINDINGS: The Belgian CSCs rely on single and multiple in-house grower arrangements. Most CSC growers had been cultivating cannabis prior to joining their current CSC, albeit growing in different contexts (non-commercial and commercial). The CSC growers discussed both ideological and pragmatic motives for operating within a CSC. Cultivation took place indoors and followed organic practices. Despite their small-scale (20 plants on average), the grow sites used specialized equipment. The growers reported receiving financial compensation to cover production costs. CONCLUSION: This paper offers new insights into a particular sector of domestic cannabis cultivation - CSC growers and their practices within those collectives - which has not been studied previously. The Belgian CSCs have decentralized production among small-scale grow sites, at a size comparable to that found in other small-scale cultivation studies. In terms of motivations and practices, CSC growers share some features typically ascribed to small-scale cannabis cultivators. At the same time, CSC growers seemed particularly engaged with the CSC model and willing to adhere to the (self-)regulated practices developed by the organizations. This had implications for the way cultivation was organized and for the role of the grower within the CSC.

Marijuana and tobacco cigarettes: Estimating their behavioral economic relationship using purchasing tasks.

Although marijuana and tobacco are commonly coused, the nature of their relationship has not been fully elucidated. Behavioral economics has characterized the relationship between concurrently available commodities but has not been applied to marijuana and tobacco couse. U.S. adults ≥18 years who coused marijuana and tobacco cigarettes were recruited via Mechanical Turk, a crowdsourcing service by Amazon. Participants (N = 82) completed online purchasing tasks assessing hypothetical marijuana or tobacco cigarette puff consumption across a range of per-puff prices; 2 single-commodity tasks assessed these when only 1 commodity was available, and 2 cross-commodity tasks assessed these in the presence of a concurrently available fixed-price commodity. Purchasing tasks generated measures of demand elasticity, that is, sensitivity of consumption to prices. In single-commodity tasks, consumption of tobacco cigarette puffs (elasticity of demand: α = 0.0075; 95% confidence interval [0.0066, 0.0085], R² = 0.72) and of marijuana puffs (α = .0044; 95% confidence interval [0.0038, 0.0049], R² = 0.71) declined significantly with increases in price per puff. In cross-commodity tasks when both tobacco cigarette puffs and marijuana puffs were available, demand for 1 commodity was independent of price increases in the other commodity (ps > .05). Results revealed that, in this small sample, marijuana and tobacco cigarettes did not substitute for each other and did not complement each other; instead, they were independent of each other. These preliminary results can inform future studies assessing the economic relationship between tobacco and marijuana in the quickly changing policy climate in the United States. (PsycINFO Database Record

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

BACKGROUND: Given the growing legalization of recreational marijuana use and related increase in its prevalence in the United States, it is important to understand marijuana's appeal. We used a behavioral economic (BE) approach to examine whether the reinforcing properties of marijuana, including "demand" for marijuana, varied as a function of its perceived quality. METHODS: Using an innovative, Web-based marijuana purchase task (MPT), a sample of 683 young-adult recreational marijuana users made hypothetical purchases of marijuana across three qualities (low, mid and high grade) at nine escalating prices per joint, ranging from $0/free to $20. RESULTS: We used nonlinear mixed effects modeling to conduct demand curve analyses, which produced separate demand indices (e.g., Pmax, elasticity) for each grade of marijuana. Consistent with previous research, as the price of marijuana increased, marijuana users reduced their purchasing. Demand also was sensitive to quality, with users willing to pay more for higher quality/grade marijuana. In regression analyses, demand indices accounted for significant variance in typical marijuana use. CONCLUSIONS: This study illustrates the value of applying BE theory to young adult marijuana use. It extends past research by examining how perceived quality affects demand for marijuana and provides support for the validity of a Web-based MPT to examine the appeal of marijuana. Our results have implications for policies to regulate marijuana use, including taxation based on the quality of different marijuana products.

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

BACKGROUND: Distinct behavioral economic domains, including high perceived drug value (demand) and delay discounting (DD), have been implicated in the initiation of drug use and the progression to dependence. However, it is unclear whether frequent marijuana users conform to a "reinforcer pathology" addiction model wherein marijuana demand and DD jointly increase risk for problematic marijuana use and cannabis dependence (CD). METHODS: Participants (n=88, 34% female, 14% cannabis dependent) completed a marijuana purchase task at baseline. A delay discounting task was completed following placebo marijuana cigarette (0% THC) administration during a separate experimental session. RESULTS: Marijuana demand and DD were quantified using area under the curve (AUC). In multiple regression models, demand uniquely predicted frequency of marijuana use while DD did not. In contrast, DD uniquely predicted CD symptom count while demand did not. There were no significant interactions between demand and DD in either model. CONCLUSIONS: These findings suggest that frequent marijuana users exhibit key constituents of the reinforcer pathology model: high marijuana demand and steep discounting of delayed rewards. However, demand and DD appear to be independent rather than synergistic risk factors for elevated marijuana use and risk for progression to CD. Findings also provide support for using AUC as a singular marijuana demand metric, particularly when also examining other behavioral economic constructs that apply similar statistical approaches, such as DD, to support analytic methodological convergence.

Legalizing and Regulating Marijuana in Canada: Review of Potential Economic, Social, and Health Impacts.

Notwithstanding a century of prohibition, marijuana is the most widely used illicit substance in Canada. Due to the growing public acceptance of recreational marijuana use and ineffectiveness of the existing control system in Canada, the issue surrounding legalizing this illicit drug has received considerable public and political attentions in recent years. Consequently, the newly elected Liberal Government has formally announced that Canada will introduce legislation in the spring of 2017 to start legalizing and regulating marijuana. This editorial aims to provide a brief overview on potential economic, social, and public health impacts of legal marijuana in Canada. The legalization could increase tax revenue through the taxation levied on marijuana products and could also allow the Government to save citizens' tax dollars currently being spent on prohibition enforcement. Moreover, legalization could also remove the criminal element from marijuana market and reduce the size of Canada's black market and its consequences for the society. Nevertheless, it may also lead to some public health problems, including increasing in the uptake of the drug, accidents and injuries. The legalization should be accompanied with comprehensive strategies to keep the drug out of the hands of minors while increasing awareness and knowledge on harmful effects of the drug. In order to get better insights on how to develop an appropriate framework to legalize marijuana, Canada should closely watch the development in the neighboring country, the United States, where some of its states viz, Colorado, Oregon, Washington, and Alaska have already legalized recreational use of marijuana.