Suchergebnisse

Given the rapidly changing U.S. cannabis legislation landscape, the aim of this article is to describe individuals who self-reported growing cannabis in the past year by selected characteristics and geographical location. Using data from 2010 to 2014 National Survey on Drug Use and Health, we conducted bivariate chi-square tests and ran a multivariable logistic regression model to examine the indicators associated with growing cannabis. Approximately, 484,000 individuals aged 12+ self-reported growing cannabis in the past year (1.6% of marijuana users). Predictors of growing cannabis included being male and self-reported reporting using cannabis for a greater number of days. Data showed differences in the proportion of cannabis growers by the state of residence. Obtaining a baseline estimate of cannabis growing practices prior to recreational cannabis markets emerging (2014) is important because such practices may undermine efforts to discourage diversion to youth. Tracking these acquisition patterns will better inform content for public health messaging and prevention education, particularly those targeting youth.

AbstractWhen voters in two US states approved the recreational use of marijuana in 2012, public debates for how best to promote and protect public health and safety started drawing implications from states' medical marijuana laws (MMLs). However, many of the discussions were simplified to the notion that states either have an MML or do not; little reference was made to the fact that legal provisions differ across states. This study seeks to clarify the characteristics of state MMLs in place since 1990 that are most relevant to consumers/patients and categorizes those aspects most likely to affect the prevalence of use, and consequently the intensity of public health and welfare effects. Evidence shows treating MMLs as homogeneous across states is misleading and does not reflect the reality of MML making. This variation likely has implications for use and health outcomes, and thus states' public health.

This paper sheds light on previous inconsistencies identified in the literature regarding the relationship between medical marijuana laws (MMLs) and recreational marijuana use by closely examining the importance of policy dimensions (registration requirements, home cultivation, dispensaries) and the timing of when particular policy dimensions are enacted. Using data from our own legal analysis of state MMLs, we evaluate which features are associated with adult and youth recreational and heavy use by linking these policy variables to data from the Treatment Episode Data Set (TEDS) and National Longitudinal Survey of Youth (NLSY97). We employ differences-in-differences techniques, controlling for state and year fixed effects, allowing us to exploit within-state policy changes. We find that while simple dichotomous indicators of MML laws are not positively associated with marijuana use or abuse, such measures hide the positive influence legal dispensaries have on adult and youth use, particularly heavy use. Sensitivity analyses that help address issues of policy endogeneity and actual implementation of dispensaries support our main conclusion that not all MML laws are the same. Dimensions of these policies, in particular legal protection of dispensaries, can lead to greater recreational marijuana use and abuse among adults and those under the legal age of 21 relative to MMLs without this supply source. [Copyright John Wiley and Sons, Ltd.]

Despite the numerous efforts to curb substance use and abuse through legislation and interventions, marijuana consumption continues to be a major social problem, particularly among young adults in the United States. We provide new information on the relationship between cannabis use and antisocial behavior by analyzing a sample of young adults (aged 18–20) from the National Epidemiological Survey of Alcohol and Related Conditions (NESARC). We examine a broad set of cannabis use patterns and multiple dimensions of antisocial behaviors and test the empirical importance of two prominent criminological theories—general strain and social bond—in explaining associations between cannabis use and antisocial behavior. We include important socioeconomic, demographic, health and health behaviors, and contextual information in all regressions to control for confounding factors. Our results imply that cannabis use is positively and significantly related to antisocial behavior among young adults, and general strain and social bond theories cannot fully explain our findings. As expected, the estimated association with antisocial behavior is stronger for more frequent cannabis users.