An Ecological Examination of Indica Versus Sativa and Primary Terpenes on the Subjective Effects of Smoked Cannabis: A Preliminary Investigation.

Background: The legal cannabis landscape has greatly outpaced scientific knowledge. Many popular cannabis claims, such as cultivar (colloquially referred to as strain) classification and terpene content producing different subjective effects, are unsubstantiated. This study examined, for the first time, whether cultivar classification (sativa/indica) and terpene content (caryophyllene, limonene, myrcene, pinene, and terpinolene) were associated with subjective cannabis effects (i.e., pain levels, low-arousal ["indica-like"] effects, high-arousal ["sativa-like"] effects, and negative effects). Methods: Regular cannabis users (n=101) took part in a 2-week long ecological momentary assessment study in which they responded to questions about their cannabis use, stated their preference for sativa versus indica, and reported their in-the-moment subjective effects within 30 min of smoking cannabis. Cultivars were coded for sativa versus indica classification and primary terpene content using Leafly, a popular search engine. Linear mixed-effect models then examined subjective response by sativa/indica and primary terpene. Covariates included demographics (age, sex, race, income), cannabis use (medical use, cannabis use frequency, stated preference for sativa/indica, global expected cannabis effects), morning pain ratings, and specific smoked cannabis occasions (hour of day, minutes since use, context, number of hits, and tetrahydrocannabinol). Results: The majority of participants (78.3%) had a preference for either sativa or indica and reported reasons for their preference that aligned with industry claims. After controlling for covariates, findings revealed that cultivars classified as indica dominant were associated with greater low-arousal (e.g., sluggish, slow) effects relative to the unweighted mean of all cannabis cultivars (b = 0.44, SE=0.16, p=0.01). Cultivars with primary caryophyllene were associated with greater pain ratings (b = 0.53, SE=0.24, p=0.03) and negative effects (b = 0.22, SE=0.08, p=0.01) relative to the mean of all other terpene types. Cultivars with primary pinene were associated with less negative effects (b = -0.35, SE=0.18, p=0.04). Conclusions: Cultivars classified as indica dominant were associated with greater low-arousal effects in models that accounted for both within- and between-person variation, despite the scientific challenges distinguishing between sativa and indica. Preliminary findings also suggest terpenes may play a role in subjective effects. These results emphasize the need for further research, particularly controlled lab studies.

I Smoke Alone: Indirect Effects of Solitary Cannabis Use on Negative Consequences Through Coping Motives.

OBJECTIVE: Using cannabis in solitary contexts is associated with greater cannabis use problems than using cannabis in social contexts. However, it remains unclear why solitary use predicts greater problems. Consistent with a social learning perspective, the current study examined whether cannabis use motives mediated the association between context of cannabis use and negative consequences. We also examined whether cannabis type (concentrates vs. flower) moderated the relation between context of use and motives. METHOD: Recreational college cannabis users (n = 387) reported their frequency of using cannabis alone or with others, motives for cannabis use, negative cannabis consequences, and type of cannabis typically used. RESULTS: Solitary cannabis use was associated with greater global negative consequences through coping motives (ß = 0.26, SE = 0.10, 95% CI [0.10, 0.43]). Cannabis type did not moderate relations between context and motives, despite concentrate users reporting more frequent cannabis use, more frequent solitary use, and greater consequences than flower users. CONCLUSIONS: Frequent cannabis use in solitary contexts was associated with greater negative cannabis consequences, both directly and indirectly via coping motives. Efforts to reduce frequent use of cannabis in solitary contexts, particularly for the purpose of coping, may be beneficial in reducing negative consequences.

Validating a brief screening measure for early-onset substance use during adolescence in a diverse, nationwide birth cohort.

The Loeber Risk Score (LRS) was developed to predict early-onset cannabis use in adolescence from late childhood, facilitating early identification. However, the LRS was developed in non-representative historical samples, leaving uncertain its generalizability to children/adolescents across the U.S. today. We externally validated the LRS in a diverse, nationwide cohort (N = 4,898) weighted to the composition of the U.S. Census. Participants in 20 cities completed assessments when youth were approximately 5, 9, and 15 years old. Parents completed the LRS at the age ∼5 and ∼9 interviews. At the age ∼15 interview, youth reported on the onset of alcohol/drug use before age 15, monthly drinking/binge drinking at ages 14-16, and use of cannabis multiple times per month at ages 14-16. First, we validated the LRS measured at age ∼9. Area under the receiver operating curve was 0.62 for onset of cannabis use before age 15, 0.68 for onset of cigarette use before age 15, and 0.62 for use of cannabis multiple times per month at ages 14-16. For drinking outcomes, LRS performance could not be distinguished from chance prediction. The recommended screening cutoff of LRS ≥ 2 identified 24% of children, among whom early-onset cannabis/cigarette use outcomes occurred 1.4-2.2 times more frequently than the general population. The LRS' performance did not vary significantly by sex, race, or ethnicity. When the LRS was measured at age ∼5, AUROC was significantly lower for some outcomes. Together, findings support the LRS measure as a potential tool for identifying children in early or late childhood at risk of early-onset drug use in adolescence.

Are there secondary effects on marijuana use from brief alcohol interventions for college students?

OBJECTIVE: This study examined whether brief motivational interventions (BMIs) designed for reducing heavy drinking among college students have secondary effects on reducing marijuana use. METHOD: The data came from Project INTEGRATE, which combined data from 24 independent trials of BMIs and other individual-focused interventions designed to reduce heavy drinking and related problems among college students. We analyzed data from 10 samples across nine studies that used random assignment of participants into either a BMI or a control group and assessed marijuana use outcomes (N = 6,768; 41.5% men; 73.2% White; 57.7% first-year students; 19.2% current marijuana users at baseline). We derived three marijuana use groups within studies by cross-tabulating baseline and follow-up data: Nonusers, Reducers, and Stayers/Increasers. RESULTS: Peto's one-step odds ratio analyses for meta-analysis revealed no significant intervention effects on marijuana use at either short-term (1-3 month) or long-term (6-12 month) follow-up. Subsequent exploratory analyses showed that those who reduced drinking were more likely to be a marijuana Reducer or Nonuser, compared with a Stayer/Increaser, at both follow-ups. CONCLUSIONS: The BMIs to reduce heavy drinking evaluated in this study did not reduce marijuana use. However, our exploratory results suggest that if we can develop interventions for college students that effectively reduce drinking, we may also reduce their marijuana use. Furthermore, as recreational use of marijuana becomes legal or decriminalized and marijuana becomes more readily available, it may be necessary to develop interventions specifically targeting marijuana use among college students.

Differences in subjective response to alcohol by gender, family history, heavy episodic drinking, and cigarette use: refining and broadening the scope of measurement.

OBJECTIVE: Subjective response to alcohol (SR) has been shown to differ by gender, family history of alcoholism, drinking status, and cigarette smoking status. However, the requisite statistical basis for making mean-level comparisons (scalar measurement invariance; MI) has not been established for any SR measure, making it impossible to determine whether observed differences reflect true differences or measurement bias. Secondary data analyses were conducted to evaluate (a) MI of the Subjective Effects of Alcohol Scale (SEAS) by gender, family history, heavy drinking status, and cigarette smoking status using multigroup confirmatory factor analysis; and (b) the impact of these group-level variables on SR using multivariate general linear modeling. A central strength, the SEAS assesses novel high arousal negative (HIGH-; e.g., aggressive) and low arousal positive effects (LOW+; e.g., relaxed) in addition to commonly assessed high arousal positive [HIGH+; e.g., sociable] and low arousal negative effects [LOW-; e.g., woozy]). METHOD: A total of 215 young adults reported on SR during a placebo-controlled alcohol administration study in a simulated bar setting (target blood alcohol concentration = .08%). RESULTS: Scalar MI was achieved for each group. After consuming alcohol, family history-positive individuals reported stronger HIGH- effects and female smokers reported weaker LOW+ effects than their counterparts. Heavy episodic drinkers and family history-positive females reported weaker LOW- effects than their counterparts. CONCLUSIONS: The SEAS permits meaningful SR comparisons within several important groups. SR differences largely were observed on the novel SEAS subscales, highlighting the importance of assessing a full range of SR.

Food-addiction scale measurement in 2 cohorts of middle-aged and older women.

BACKGROUND: Excess weight is a major threat to public health. An addiction-like tendency toward certain foods may contribute to overeating. OBJECTIVE: We aimed to describe the prevalence and associated characteristics in relation to a food-addiction scale in middle-aged and older women. DESIGN: We examined the prevalence and associated characteristics of a food-addiction scale measure in a cross-sectional analysis of 134,175 women participating in 2 ongoing prospective cohort studies of US nurses. RESULTS: Overall, 7839 (5.8%) of the women surveyed met the criteria for food addiction measured by using the modified Yale Food Addiction Scale. The prevalence of food addiction was 8.4% in the younger cohort of women aged 45-64 y and 2.7% in the older cohort of women aged 62-88 y. In the multivariate model, body mass index (BMI; in kg/m²) ≥ 35.0 (compared with 18.5-22.9) was associated with food addiction, a prevalence ratio (PR) of 15.83 (95% CI: 12.58, 19.91) in the younger cohort of women, and a PR of 18.41 (95% CI: 11.63, 29.14) in the older cohort of women. Several other demographic characteristics and other factors were associated with the food-addiction measure in both cohorts of women. CONCLUSIONS: To our knowledge, for the first time in a large, US-based population of women, we documented the prevalence of food addiction by using a novel measurement scale in middle-aged and older women. The results may provide insight into the strong association between behavioral attributes of food consumption and the development of obesity.

Predictors of Interest in an Alcohol Reduction Clinical Trial of Naltrexone among Undergraduates.

BACKGROUND: We tested predictors of interest in a clinical trial of naltrexone plus counseling for heavy drinking reduction in young adults using a web survey. Respondents could indicate interest in the clinical trial at the conclusion of the survey. METHODS: A random sample of university students completed the survey (N = 584, 60% female). Data were collected in October-November 2010. RESULTS: Among past-year drinkers (n = 411), 22.6% (n =93) indicated interest. Equivalent levels of interest were found among past-year heavy drinkers. Non-white race and current cigarette smoking predicted interest. Alcohol-related negative consequences score was a trend-level predictor in the full regression model, but a significant predictor in a reduced model. CONCLUSIONS: Non-white students, smokers and those with a high number of negative consequences may be more amenable to drinking reduction via medication and counseling. These findings could facilitate efforts of researchers, administrators, counselors and other professionals to tailor drinking reduction messages and facilitate treatment engagement by undergraduates.

Co-occurring marijuana use is associated with medication nonadherence and nonplanning impulsivity in young adult heavy drinkers.

Few studies have examined the co-occurrence of alcohol and marijuana use in clinical samples of young adults. The present study investigated whether co-occurring marijuana use is associated with characteristics indicative of a high level of risk in young adult heavy drinkers. Individuals between the ages of 18 and 25 years (N=122) participated in an ongoing 8-week randomized clinical trial that tested the efficacy of placebo-controlled naltrexone plus brief individual counseling to reduce heavy drinking. At intake participants completed self-report assessments on alcohol consumption, alcohol-related negative consequences, motivation to reduce drinking, trait impulsivity, expectancies for alcohol-induced disinhibition, use of cigarettes, and history of medication nonadherence. In univariate tests heavy drinkers with and without co-occurring marijuana use did not differ on alcohol consumption, most alcohol-related negative consequences, and motivation to reduce drinking. In multivariate tests controlling for demographic characteristics, co-occurring heavy alcohol and marijuana use was significantly associated with nonplanning impulsivity (ß=2.95) and a history of both unintentional (adjusted odds ratio [aOR]=3.30) and purposeful (aOR=3.98) nonadherence to medication. Findings suggest that young adult heavy drinkers with co-occurring marijuana use exhibit a high-risk clinical profile and may benefit from interventions that increase adherence to medications.