High school student cannabis use and perceptions towards cannabis in southcentral Colorado - comparing communities that permit recreational dispensaries and communities that do not

Health, safety, and socioeconomic impacts of cannabis liberalization laws: An evidence and gap map

Background

Globally, cannabis laws and regulations are rapidly changing. Countries are increasingly permitting access to cannabis under various decriminalization, medicalization, and legalization laws. With strong economic, public health, and social justice incentives driving these domestic cannabis policy reforms, liberalization trends are bound to continue. However, despite a large and growing body of interdisciplinary research addressing the policy-relevant health, safety, and socioeconomic consequences of cannabis liberalization, there is a lack of robust primary and systematic research that comprehensively investigates the consequences of these reforms.

Objectives

This evidence and gap map (EGM) summarizes the empirical evidence on cannabis liberalization policies. Primary objectives were to develop a conceptual framework linking cannabis liberalization policies to relevant outcomes, descriptively summarize the empirical evidence, and identify areas of evidence concentration and gaps.

Search Methods

We comprehensively searched for eligible English-language empirical studies published across 23 academic databases and 11 gray literature sources through August 2020. Additions to the pool of potentially eligible studies from supplemental sources were made through November 2020.

Selection Criteria

The conceptual framework for this EGM draws upon a legal epidemiological perspective highlighting the causal effects of law and policy on population-level outcomes. Eligible interventions include policies that create or expand access to a legal or decriminalized supply of cannabis: comprehensive medical cannabis laws (MCLs), limited medical cannabidiol laws (CBDLs), recreational cannabis laws (RCLs), industrial hemp laws (IHLs), and decriminalization of cultivations laws (DCLs). Eligible outcomes include intermediate responses (i.e., attitudes/behaviors and markets/environments) and longer-term consequences (health, safety, and socioeconomic outcomes) of these laws.

Data Collection and Analysis

Both dual screening and dual data extraction were performed with third person deconfliction. Primary studies were appraised using the Maryland Scientific Methods Scale and systematic reviews were assessed using AMSTAR 2.

Main Results

The EGM includes 447 studies, comprising 438 primary studies and nine systematic reviews. Most research derives from the United States, with little research from other countries. By far, most cannabis liberalization research focuses on the effects of MCLs and RCLs. Studies targeting other laws-including CBDLs, IHLs, and DCLs-are relatively rare. Of the 113 distinct outcomes we documented, cannabis use was the single most frequently investigated. More than half these outcomes were addressed by three or fewer studies, highlighting substantial evidence gaps in the literature. The systematic evidence base is relatively small, comprising just seven completed reviews on cannabis use (3), opioid-related harms (3), and alcohol-related outcomes (1). Moreover, we have limited confidence in the reviews, as five were appraised as minimal quality and two as low quality.

Authors’ Conclusions

More primary and systematic research is needed to better understand the effects of cannabis liberalization laws on longer-term-and arguably more salient-health, safety, and socioeconomic outcomes. Since most research concerns MCLs and RCLs, there is a critical need for research on the societal impacts of industrial hemp production, medical CBD products, and decriminalized cannabis cultivation. Future research should also prioritize understanding the heterogeneous effects of these laws given differences in specific provisions and implementation across jurisdictions.

How Demographic Factors Impact Attitudes Toward the Recreational Use of Cannabis

While cannabis legalization in the United States has become more commonplace, differences in attitudes toward its use persist. Negative attitudes toward cannabis create barriers to care for those seeking its use for therapeutic purposes. Existing research regarding the attitudes surrounding cannabis is specific to medical cannabis (MC) use or cannabis use in general. To address this gap, the present research sought to explore the demographic factors that influence attitudes toward recreational cannabis, including gender, age, ethnicity, race, level of education, marital status, number of children, the legal status of cannabis in the state of residency, employment status, political party affiliation, political view, and religion. The Recreational Cannabis Attitudes Scale (RCAS) was used to measure participants' attitudes toward recreational cannabis. A one-way analysis of variance (ANOVA) or one-way Welch ANOVA was used to determine variations in RCAS scores between different demographic groups. Data from 645 participants indicated that gender (P = 0.039), employment status (P = 0.016), political party affiliation (P = 0.002), political view (P = 0.0005), the legal status of the state of residence (P = 0.003), religion (P = 0.0005), and experience with cannabis (P = 0.0005) had significant variations between groups regarding attitudes toward recreational cannabis. Understanding the factors that inform attitudes is critical to efforts to destigmatize cannabis use. Education about cannabis is an effective measure in reducing stigma, and paired with demographic information, advocacy efforts can be more accurately targeted.

Demographic factors that impact attitudes toward medical cannabis

Objective

This study aims to identify pertinent demographic characteristics that influence attitudes toward medical cannabis.

Methods

Survey respondents were recruited through social media posts, partnering with community organizations, and snowball sampling. Attitudes were measured with a modified version of the medical component of the Recreational and Medical Cannabis Attitudes Scale (MMCAS). Data were analyzed using a one-way ANOVA or one-way Welch ANOVA to determine differences within demographic characteristics. A Tukey-Kramer, or Games-Howell, post-hoc analysis was conducted to determine specific groups within the independent variables that significantly impacted medical cannabis attitudes.

Results

A total of 645 participants completed the survey. Significant variation in MMCAS was noted between groups based on race, political party affiliation, political view, religion, state legal status, and past/current cannabis use. There were no significant variations noted in MMCAS for apolitical factors.

Conclusion

Political, religious, and legal demographic factors impact attitudes toward medical cannabis.

Innovation

The use of health education targeted at the groups of people who continue to harbor antiquated attitudes toward medical cannabis will help to improve patient access and, thus, patient outcomes. Cannabis advocates can innovatively apply health education efforts to groups of people who are aligned with the demographic factors identified in this current work.

Cannabis Use and Emotional Awareness Difficulties in Adolescents with Co-Occurring Substance Use and Psychiatric Disorders

Background: Assessing predictors of cannabis use following adolescent substance use treatment may inform essential treatment elements to be emphasized before discharge. Adolescents with low emotional awareness may have limited resources for identifying and overcoming negative emotions, and therefore, use cannabis to regulate emotions. Purpose/objectives: The purpose of this study was to test the hypothesis that emotional awareness difficulties are associated with increased cannabis use across the transition out of substance use treatment. This hypothesis was investigated by applying an autoregressive random-intercept cross-lagged panel-modeling framework to test the fit of alternative models and inform hypotheses about directional associations between cannabis use and emotional awareness difficulties over time. Methods: Participants were 110 adolescents with co-occurring disorders and their families participating in an intensive home-based treatment trial. Adolescents reported on past 7-day cannabis use and difficulties in emotional awareness at baseline and three follow-up assessments across 12 months. Results: At baseline, 54% of the sample reported past-week cannabis use. A directional effect was supported such that difficulties with emotional awareness at 3 months' post-baseline, which corresponded to the approximate end of the treatment program, were associated with increased cannabis use at 6 months' post-baseline, controlling for the stability of cannabis use, and emotional awareness over time. Cannabis use, however, was not associated with subsequent difficulties in emotional awareness (i.e., effects in the opposite direction were not supported). Conclusions/Importance: Emotional awareness difficulties toward the end of a course of intensive outpatient treatment may be associated with increased cannabis use after the completion of treatment.