Tianshu Feng

Medical marijuana laws and adolescent marijuana use in the USA from 1991 to 2014: results from annual, repeated cross-sectional surveys

BACKGROUND Adolescent use of marijuana is associated with adverse later effects, so the identification of factors underlying adolescent use is of substantial public health importance. The relationship between US state laws that permit marijuana for medical purposes and adolescent marijuana use has been controversial. Such laws could convey a message about marijuana acceptability that increases its use soon after passage, even if implementation is delayed or the law narrowly restricts its use. We used 24 years of national data from the USA to examine the relationship between state medical marijuana laws and adolescent use of marijuana. METHODS Using a multistage, random-sampling design with replacement, the Monitoring the Future study conducts annual national surveys of 8th, 10th, and 12th-grade students (modal ages 13-14, 15-16, and 17-18 years, respectively), in around 400 schools per year. Students complete self-administered questionnaires that include questions on marijuana use. We analysed data from 1 098 270 adolescents surveyed between 1991 and 2014. The primary outcome of this analysis was any marijuana use in the previous 30 days. We used multilevel regression modelling with adolescents nested within states to examine two questions. The first was whether marijuana use was higher overall in states that ever passed a medical marijuana law up to 2014. The second was whether the risk of marijuana use changed after passage of medical marijuana laws. Control covariates included individual, school, and state-level characteristics. FINDINGS Marijuana use was more prevalent in states that passed a medical marijuana law any time up to 2014 than in other states (adjusted prevalence 15·87% vs 13·27%; adjusted odds ratio [OR] 1·27, 95% CI 1·07-1·51; p=0·0057). However, the risk of marijuana use in states before passing medical marijuana laws did not differ significantly from the risk after medical marijuana laws were passed (adjusted prevalence 16·25% vs 15·45%; adjusted OR 0·92, 95% CI 0·82-1·04; p=0·185). Results were generally robust across sensitivity analyses, including redefining marijuana use as any use in the previous year or frequency of use, and reanalysing medical marijuana laws for delayed effects or for variation in provisions for dispensaries. INTERPRETATION Our findings, consistent with previous evidence, suggest that passage of state medical marijuana laws does not increase adolescent use of marijuana. However, overall, adolescent use is higher in states that ever passed such a law than in other states. State-level risk factors other than medical marijuana laws could contribute to both marijuana use and the passage of medical marijuana laws, and such factors warrant investigation. FUNDING US National Institute on Drug Abuse, Columbia University Mailman School of Public Health, New York State Psychiatric Institute.

Comparative analysis of outcome measures used in examining neurodevelopmental effects of early childhood anesthesia exposure

Introduction:Immature animals exposed to anesthesia display apoptotic neurodegeneration and neurobehavioral deficits. The safety of anesthetic agents in children has been evaluated using a variety of neurodevelopmental outcome measures with varied results. Methods:The authors used data from the Western Australian Pregnancy Cohort (Raine) Study to examine the association between exposure to anesthesia in children younger than 3 yr of age and three types of outcomes at age of 10 yr: neuropsychological testing, International Classification of Diseases, 9th Revision, Clinical Modification–coded clinical disorders, and academic achievement. The authors’ primary analysis was restricted to children with data for all outcomes and covariates from the total cohort of 2,868 children born from 1989 to 1992. The authors used a modified multivariable Poisson regression model to determine the adjusted association of anesthesia exposure with outcomes. Results:Of 781 children studied, 112 had anesthesia exposure. The incidence of deficit ranged from 5.1 to 7.8% in neuropsychological tests, 14.6 to 29.5% in International Classification of Diseases, 9th Revision, Clinical Modification–coded outcomes, and 4.2 to 11.8% in academic achievement tests. Compared with unexposed peers, exposed children had an increased risk of deficit in neuropsychological language assessments (Clinical Evaluation of Language Fundamentals Total Score: adjusted risk ratio, 2.47; 95% CI, 1.41 to 4.33, Clinical Evaluation of Language Fundamentals Receptive Language Score: adjusted risk ratio, 2.23; 95% CI, 1.19 to 4.18, and Clinical Evaluation of Language Fundamentals Expressive Language Score: adjusted risk ratio, 2.00; 95% CI, 1.08 to 3.68) and International Classification of Diseases, 9th Revision, Clinical Modification–coded language and cognitive disorders (adjusted risk ratio, 1.57; 95% CI, 1.18 to 2.10), but not academic achievement scores. Conclusions:When assessing cognition in children with early exposure to anesthesia, the results may depend on the outcome measure used. Neuropsychological and International Classification of Diseases, 9th Revision, Clinical Modification–coded clinical outcomes showed an increased risk of deficit in exposed children compared with that in unexposed children, whereas academic achievement scores did not. This may explain some of the variation in the literature and underscores the importance of the outcome measures when interpreting studies of cognitive function.

Association of State Recreational Marijuana Laws With Adolescent Marijuana Use.

Importance Historical shifts are occurring in marijuana policy. The effect of legalizing marijuana for recreational use on rates of adolescent marijuana use is a topic of considerable debate. Objective To examine the association between the legalization of recreational marijuana use in Washington and Colorado in 2012 and the subsequent perceived harmfulness and use of marijuana by adolescents. Design, Setting, and Participants We used data of 253 902 students in eighth, 10th, and 12th grades from 2010 to 2015 from Monitoring the Future, a national, annual, cross-sectional survey of students in secondary schools in the contiguous United States. Difference-in-difference estimates compared changes in perceived harmfulness of marijuana use and in past-month marijuana use in Washington and Colorado prior to recreational marijuana legalization (2010-2012) with postlegalization (2013-2015) vs the contemporaneous trends in other states that did not legalize recreational marijuana use in this period. Main Outcomes and Measures Perceived harmfulness of marijuana use (great or moderate risk to health from smoking marijuana occasionally) and marijuana use (past 30 days). Results Of the 253 902 participants, 120 590 of 245 065(49.2%) were male, and the mean (SD) age was 15.6 (1.7) years. In Washington, perceived harmfulness declined 14.2% and 16.1% among eighth and 10th graders, respectively, while marijuana use increased 2.0% and 4.1% from 2010-2012 to 2013-2015. In contrast, among states that did not legalize recreational marijuana use, perceived harmfulness decreased by 4.9% and 7.2% among eighth and 10th graders, respectively, and marijuana use decreased by 1.3% and 0.9% over the same period. Difference-in-difference estimates comparing Washington vs states that did not legalize recreational drug use indicated that these differences were significant for perceived harmfulness (eighth graders: % [SD], −9.3 [3.5]; P = .01; 10th graders: % [SD], −9.0 [3.8]; P = .02) and marijuana use (eighth graders: % [SD], 5.0 [1.9]; P = .03; 10th graders: % [SD], 3.2 [1.5]; P = .007). No significant differences were found in perceived harmfulness or marijuana use among 12th graders in Washington or for any of the 3 grades in Colorado. Conclusions and Relevance Among eighth and 10th graders in Washington, perceived harmfulness of marijuana use decreased and marijuana use increased following legalization of recreational marijuana use. In contrast, Colorado did not exhibit any differential change in perceived harmfulness or past-month adolescent marijuana use following legalization. A cautious interpretation of the findings suggests investment in evidence-based adolescent substance use prevention programs in any additional states that may legalize recreational marijuana use.

Protective benefits of mindfulness in emergency room personnel

BACKGROUND Recent meta-analyses have found that mindfulness practice may reduce anxiety and depression in clinical populations and there is growing evidence that mindfulness may also improve well-being and quality of care in health professionals. This study examined whether mindfulness protects against the impact of work-related stress on mental health and burnout in emergency room (ER) nurses. METHODS ER nurses (N=50) were recruited from an urban teaching hospital in Switzerland and completed a survey on work-related stressors, mindfulness, burnout, depression, and anxiety. RESULTS The most frequently reported work-related stressor was interpersonal conflict. Nurses working more consecutive days since last taking time off were at greater risk for depression and those reporting more work-related interpersonal conflicts were at greater risk for burnout. Mindfulness was associated with reduced anxiety, depression, and burnout. Mindfulness was a significant predictor of anxiety, depression, and burnout and moderated the impact of work-related stressors on mental health and burnout. LIMITATIONS The sample is limited to nurses and results need to be replicated in other groups (e.g., medical staff or ambulance workers). We assessed clinical symptoms with questionnaires and it would be desirable to repeat this assessment with clinical diagnostic interviews. CONCLUSIONS The findings have implications for stress management in ER nurses and health professionals working in comparable settings (e.g., urgent care). The robust associations between mindfulness and multiple indices of psychological well-being suggest that ER staff exposed to high levels of occupational stress may benefit from mindfulness practice to increase resistance to mental health problems and burnout.

Cognitive regulation of craving in alcohol-dependent and social drinkers.

BACKGROUND Helping alcohol-dependent individuals to cope with, or regulate, cue-induced craving using cognitive strategies is a therapeutic goal of cognitive behavioral therapy (CBT) for alcohol dependence. An assumption that underlies this approach is that alcohol dependence is associated with deficits in such cognitive regulation abilities. To date, however, the ability to utilize such strategies for regulation of craving has never been tested in a laboratory setting. METHODS Here we compared 19 non-treatment-seeking, alcohol-dependent drinkers (AD) to 21 social drinkers (SD), using a laboratory task that measured the ability to reduce cue-induced alcohol craving by thinking about long-term negative consequences of drinking, which is a specific cognitive regulation strategy that is taught in CBT. The task also assessed the ability to reduce food craving elicited by high-calorie food cues using a similar strategy. RESULTS The reduction in craving when using this cognitive regulation strategy was approximately double in SD, compared to AD, for both alcohol and food cues. Furthermore, in SD but not AD, the ability to regulate cue-induced alcohol craving was correlated with the ability to regulate food craving. There were no significant correlations found between the ability to regulate cue-induced alcohol craving and a number of self-report measures related to severity of alcohol dependence, baseline craving, impulsivity, and general self-regulation ability, for either AD or SD. CONCLUSIONS The results suggest that alcohol dependence is associated with deficits in cognitive regulation of cue-induced craving and that these deficits are not specific to the regulation of alcohol craving, but generalize to the regulation of other appetitive states, such as food craving. Future studies may use similar procedures to address the neural and cognitive processes that underlie such regulation deficits, as well as the effects of treatments such as CBT on these processes.

The Importance of Context: Neighborhood Drinking Norms and Heavy Drinking Among HIV Patients.

2007;19:83. 4. Mugavero MJ, Lin H-Y, Willig JH, et al. Missed visits and mortality among patients establishing Initial outpatient HIV treatment. Clin Infect Dis. 2009;48:248–256. 5. Doshi RK, Milberg J, Isenberg D, et al. High rates of retention and viral suppression in United States HIV safety net system: HIV care continuum in the Ryan White HIV/AIDS Program, 2011. Clin Infect Dis. 2015;60: 117–125. 6. Das M, Chu PL, Santos G-M, et al. Decreases in community viral load are accompanied by reductions in new HIV infections in San Francisco. PLoS One. 2010;5:e11068. 7. Montaner J, Lima V, Barrios R, et al. Association of highly active antiretroviral therapy coverage, population viral load, and yearly new HIV diagnoses in British Columbia, Canada: a population-based study. Lancet. 2010;376:532–539. 8. Magnus M, Herwehe J, Gruber D, et al. Improved HIV-related outcomes associated with implementation of a novel public health information exchange. Int J Med Inform. 2012;81:e30–e38. 9. Herwehe J, Wilbright W, Abrams A, et al. Implementation of an innovative, integrated electronic medical record (EMR) and public health information exchange for HIV/AIDS. J Am Med Inform Assoc. 2012;19:448–452. 10. Robbins GK, Lester W, Johnson KL, et al. Efficacy of a clinical decision-support system in an HIV practice: a randomized trial. Ann Intern Med. 2012;157:757–766. 11. Giordano TP, Gifford AL, White AC, et al. Retention in care: a challenge to survival with HIV infection. Clin Infect Dis. 2007;44:1493.

Medical marijuana laws and adolescent use of marijuana and other substances: Alcohol, cigarettes, prescription drugs, and other illicit drugs

BACKGROUND Historical shifts have taken place in the last twenty years in marijuana policy. The impact of medical marijuana laws (MML) on use of substances other than marijuana is not well understood. We examined the relationship between state MML and use of marijuana, cigarettes, illicit drugs, nonmedical use of prescription opioids, amphetamines, and tranquilizers, as well as binge drinking. METHODS Pre-post MML difference-in-difference analyses were performed on a nationally representative sample of adolescents in 48 contiguous U.S. states. Participants were 1,179,372U.S. 8th, 10th, and 12th graders in the national Monitoring the Future annual surveys conducted in 1991-2015. Measurements were any self-reported past-30-day use of marijuana, cigarettes, non-medical use of opioids, amphetamines and tranquilizers, other illicit substances, and any past-two-week binge drinking (5+ drinks per occasion). RESULTS Among 8th graders, the prevalence of marijuana, binge drinking, cigarette use, non-medical use of opioids, amphetamines and tranquilizers, and any non-marijuana illicit drug use decreased after MML enactment (0.2-2.4% decrease; p-values:<0.0001-0.0293). Among 10th graders, the prevalence of substance use did not change after MML enactment (p-values: 0.177-0.938). Among 12th graders, non-medical prescription opioid and cigarette use increased after MML enactment (0.9-2.7% increase; p-values: <0.0001-0.0026). CONCLUSIONS MML enactment is associated with decreases in marijuana and other drugs in early adolescence in those states. Mechanisms that explain the increase in non-medical prescription opioid and cigarette use among 12th graders following MML enactment deserve further study.

Race/ethnicity and marijuana use in the United States: Diminishing differences in the prevalence of use, 2006–2015

BACKGROUND Marijuana use has been decreasing in the past several years among adolescents, though variation in the extent and rate of decrease across racial/ethnic groups is inadequately understood. METHODS The present study utilized nationally-representative data in Monitoring the Future from 2006 to 2015 to examine trends over time in past 30-day marijuana use. We examine whether differences in trends over time by race and ethnicity also differ by individual-level, school-level, and state-level factors. Sample included 131,351 8th grade students, 137,249 10th grade students, and 123,293 12th grade students; multi-level models and difference-in-differences tests were used. RESULTS In 10th grade, Black students had a positive linear increase in marijuana use (est=0.04, SE=0.01, p<0.001), and the magnitude of the increase was significantly greater than among non-Hispanic White students (est=0.38, SE=0.009, p<0.001). The increase trend among Black students was greater among those in large class sizes. In 12th grade, all racial ethnic groups except non-Hispanic Whites demonstrated a linear increase in prevalence across time. The magnitude of the increase among Hispanic students was greater among those in urban areas and large class sizes. The magnitude of the increase among Black students was greater in states with a medical marijuana law before 2006 (est=0.06, SE=0.03, p=0.02), among other state-level covariates. CONCLUSION Together these results suggest that the next stage of public health approaches to reducing the harms associated with adolescent drug use should attend to shifting demographic patterns of use among adolescents and ensure that services and programmatic approaches to adolescent prevention are applied equitably.

A Longitudinal Study of Violent Behavior in a Psychosis-Risk Cohort

There is a lack of insight into the relationships between violent ideation, violent behavior, and early, particularly attenuated, psychosis. Our aims were to examine the relationships between baseline violent behavior and violent ideation and outcome violent behavior and conversion to psychosis in at-risk individuals. We longitudinally assessed 200 individuals at clinical high risk for psychosis for violent ideation and violent behavior using the Structured Interview for Psychosis-Risk Syndromes (SIPS), and rated these according to MacArthur Community Violence categories. Fifty-six individuals (28%) reported violent ideation at baseline, 12 (6%) reported violent behavior within 6 months pre-baseline, and 8 (4%) committed acts of violence during the follow-up time period. Information about violent ideation was obtained only by indirect, but not direct, inquiry about violent ideation. Both violent ideation and violent behavior at baseline significantly predicted violent behavior (RR=13.9, p=0.001; RR=8.3, p=0.003, respectively) during follow-up, as well as a diagnosis of psychosis (RR=2.3 and 2.4, respectively; both p<0.001), independent of more than 40 clinical and demographic variables. The targets of the subjects’ violent ideation at baseline were completely different than their subsequent targets of violent behavior. Violent behavior occurred within 7 days (SD 35 days) of a diagnosis of syndromal psychosis. These data suggest that checking carefully for violent ideation and behavior in clinical high-risk patients is essential, as these have predictive value for conversion to psychosis and likelihood of violence in the future.

Nonmedical prescription opioids and pathways of drug involvement in the US: Generational differences

BACKGROUND This study sought to specify (1) the position of nonmedical prescription opioids (NMPO) in drug initiation sequences among Millennials (1979-96), Generation X (1964-79), and Baby Boomers (1949-64) and (2) gender and racial/ethnic differences in sequences among Millennials. METHODS Data are from the 2013-2014 National Surveys on Drug Use and Health (n = 73,026). We identified statistically significant drug initiation sequences involving alcohol/cigarettes, marijuana, NMPO, cocaine, and heroin using a novel method distinguishing significant sequences from patterns expected only due to correlations induced by common liability among drugs. RESULTS Alcohol/cigarettes followed by marijuana was the most common sequence. NMPO or cocaine use after marijuana, and heroin use after NMPO or cocaine, differed by generation. Among successively younger generations, NMPO after marijuana and heroin after NMPO increased. Millennials were more likely to initiate NMPO than cocaine after marijuana; Generation X and Baby Boomers were less likely (odds ratios = 1.4;0.3;0.2). Millennials were more likely than Generation X and Baby Boomers to use heroin after NMPO (hazards ratios = 7.1;3.4;2.5). In each generation, heroin users were far more likely to start heroin after both NMPO and cocaine than either alone. Sequences were similar by gender. Fewer paths were significant among African-Americans. CONCLUSIONS NMPOs play a more prominent role in drug initiation sequences among Millennials than prior generations. Among Millennials, NMPO use is more likely than cocaine to follow marijuana use. In all generations, transition to heroin from NMPO significantly occurs only when both NMPO and cocaine have been used. Delineation of drug sequences suggests optimal points in development for prevention and treatment efforts.