A Research Agenda to Inform Cannabis Regulation: How Science Can Shape Policy.

In the United States, changes to cannabis policy have outpaced scientific knowledge about cannabis, its effects, and the impacts of different policy approaches. Research barriers stem from key federal policies, including strict drug scheduling of cannabis, which comprehensively hinder the ability to conduct cannabis research, affecting state markets, evidence-based regulation, and scientific gains that could more effectively shape policy moving forward. The Cannabis Regulators Association (CANNRA) is a nonpartisan nonprofit organization that convenes and supports government agencies to facilitate information exchange and learning from existing cannabis regulations across US states and territories and other governmental jurisdictions. This commentary outlines a research agenda that, if implemented, would address critical gaps in the science that cannabis regulators have identified in terms of knowledge regarding: (1) medicinal use of cannabis; (2) cannabis product safety; (3) cannabis consumer behaviors; (4) policies to promote equity and reduce disparities, both in the industry and more broadly in communities affected by the past criminalization of cannabis; (5) policies to prevent youth consumption and promote public health and safety; and (6) policies to reduce the illicit market and associated harms. The research agenda outlined here is the result of both formal discussions through CANNRA-wide meetings and informal discussions cannabis regulators have had as part of CANNRA committees. This research agenda is not all encompassing but rather highlights areas of research that have vital importance for cannabis regulation and policy implementation. Although many organizations weigh in on research needs related to cannabis, cannabis regulators (ie, the individuals implementing policies legalizing cannabis in states and territories) have generally not had a voice at the table advocating for specific research to be conducted. Their perspective representing the government agencies closest to the ground in terms of experiencing the impacts of current cannabis policy is essential to furthering quality, practical research that can advance informed and effective policy.

Cannabis Retail Market Indicators in Five Legal States in the United States: A Public Health Perspective.

PURPOSE: Adult-use cannabis markets are operating in multiple US states and abroad. Sales and licensing data for alcohol and tobacco are often used to understand consumption patterns and evaluate policy changes. Cannabis market data may provide similar insights, although these newly legal markets are complex and evolving, and the state data structures can differ. This study describes variations in market indicators and discusses the utility of cannabis market metrics from a public health perspective. METHODS: We collected data from 5 early-adopting adult-use cannabis states: Alaska, Colorado, Massachusetts, Oregon, and Washington. Analyses focused on licensed retail outlets and retail sales revenues (pretax). Monthly data were collected from the opening of each state's adult-use market through June 2022. Joinpoint software was used to assess state trends and identify points of inflection in trends. Average sales per retailer for June 2019 and June 2022 were compared. Also described are retailers and revenue per population for 2022. FINDINGS: All states showed 4 distinct periods of growth in retail licensee numbers. The greatest increases typically occurred in the first 3 to 4 months. Growth rates slowed to <1% per month for Colorado, Oregon, and Washington at months 25, 24, and 34, respectively. The number of cannabis retailers per 100,000 residents in June 2022 ranged widely, from 16.8 in Oregon to 3.0 in Massachusetts. Colorado, Oregon, and Washington each showed 4 distinct trend periods in adult-use retail sales: early rapid growth lasting <1 year, subsequent varied growth periods, and then declining sales in the most recent months, following early coronavirus disease 2019 period increases. Sales in Alaska and Massachusetts displayed more stable, consistent growth patterns. Sales per state resident for July 2021 to June 2022 also ranged widely, from $382.97 in Alaska to $180.94 in Washington. IMPLICATIONS: We found some consistencies and some variations in both point-in-time measures and trends in states' adult-use cannabis markets. Differences may relate to varied state policies and general contexts (eg, economies). Market data can be useful for public health monitoring, including understanding the effects of policies intended to protect health and safety. States providing publicly accessible cannabis market data create opportunities for such use. Our results underscore the importance of considering individual state regulatory frameworks and implementation timelines in studies of cannabis legalization.

Cannabis and nicotine co-use among primary care patients in a state with legal cannabis access.

The aim of this exploratory analysis was to evaluate cannabis exposure, reasons for use and problematic cannabis use among adult primary care patients in Washington state (United States) who co-use cannabis and nicotine (tobacco cigarettes and/or nicotine vaping) compared to patients who endorse current cannabis use only. As part of a NIDA Clinical Trials Network (CTN) parent study, patients who completed a cannabis screen as part of routine primary care were randomly sampled (N = 5,000) to a receive a confidential cannabis survey. Patients were stratified and oversampled based on the frequency of past-year cannabis use and for Black, indigenous, or other persons of color. Patients who endorsed past 30-day cannabis use are included here (N = 1388). Outcomes included; prevalence of cannabis use, days of cannabis use per week and times used per day, methods of use, THC:CBD content, non-medical and/or medical use, health symptoms managed, and cannabis use disorder (CUD) symptom severity. We conducted unadjusted bivariate analyses comparing outcomes between patients with cannabis and current nicotine co-use to patients with cannabis-only use. Nicotine co-use (n = 352; 25.4 %) was associated with differences in method of cannabis use, THC:CBD content, days of use per week and times used per day, number of health symptoms managed, and CUD severity (all p < 0.001), compared to primary care patients with cannabis-only use (n = 1036). Interventions targeting cannabis and nicotine co-use in primary care are not well-established and further research is warranted given findings of more severe cannabis use patterns and the adverse health outcomes associated with co-use.

Cannabidiol Marketing Strategies in the United States: An Analysis of Three Prominent Companies.

Introduction: The popularity and market for cannabidiol (CBD) products have expanded. Materials and Methods: Using Numerator advertising data from 2017 to 2021 regarding three popular CBD companies in the United States (Charlotte's Web, Green Roads, Medterra), we examined (1) general advertising characteristics (e.g., media channel, year); (2) ad content (i.e., themes of headlines and imagery); (3) themes of prominent sources (i.e., specific websites, magazines, etc.); and (4) ad expenditures. Results: Across companies during the study timeframe, there were 475 unique ads (i.e., unique content), 4767 ad occurrences, and $1,471,944 total expenditures. Charlotte's Web accounted for the greatest proportion of unique ads, ad occurrences, and expenditures (53.3%, 62.8%, and 70.3%, respectively), followed by Medterra (40.4%, 33.9%, and 28.5%) and Green Roads (6.3%, 3.3%, and 1.2%). The largest proportion of occurrences and expenditures were via online display (83.5%, 54.8%), followed by mobile (15.9%, 24.8%) and print (0.4%, 20.1%). Per ad occurrences and expenditures, ads prominently featured headline themes focused on brand/trust/quality (27.5%, 18.3%, respectively), wellness (17.5%, 17.7%), pain/sport (9.9%, 20.0%), and promotions (13.2%, 11.6%), in addition to visual themes of the product itself (74.3%, 78.5%) or with women (5.3%, 10.0%). The most prominent source themes were focused on health/wellness (21.0% of ad occurrences, 18.1% of expenditures), followed by other websites and search engines (18.3%, 11.2%), news/weather (12.9%, 21.3%), and entertainment/lifestyle/culture (12.6%, 28.0%). Despite some distinctions between companies, ad and source themes were similar. Conclusions: Regulatory efforts must be informed by ongoing surveillance of CBD marketing and how specific consumer subgroups are impacted by marketing exposure.

Home cannabis cultivation in the United States and differences by state-level policy, 2019-2020.

Background: As of 2022, all but two U.S. states with adult-use cannabis laws also allow home cultivation. Home cultivation has the potential to support or oppose public health measures, and research in U.S. states is nascent.Objectives: 1) estimate the percentage of respondents who reported growing cannabis plants; 2) estimate the average number of plants grown; 3) examine the association between home cultivation, jurisdiction, and individual-level factors; and 4) examine the association between home cultivation and state-level policies in adult-use states.Methods: Repeat cross-sectional survey data come from U.S. respondents aged 21-65 in 2019 and 2020. Respondents were recruited through online commercial panels. Home cultivation rates were estimated among all U.S. respondents (n = 51,503; 46-52% male). Additional analyses were conducted on a sub-sample of respondents in states that allowed adult-use home cultivation (n = 29,100; 50% male).Results: A total of 6.8% and 7.3% of U.S. respondents reported home cultivation in 2019 and 2020, respectively. Respondents in states that allowed adult-use home cultivation had higher odds of reporting home cultivation than respondents in states without medical or adult-use cannabis laws (AOR = 1.48, 95% 1.26, 1.75). Among respondents in states that allowed adult-use home cultivation, the median number of plants that respondents reported growing was below state cultivation limits.Conclusion: Home cultivation rates in the U.S. were higher in states that allowed adult-use home cultivation; however, other evidence suggests these same states had higher rates predating adult-use legalization. Further work is needed to examine how home cultivation relates to public health measures in adult-use states.

Differences between adults who smoke cigarettes daily and do and do not co-use cannabis: Findings from the 2020 ITC four country smoking and vaping survey.

BACKGROUND: Little is known about population-level differences between adults who exclusively smoke cigarettes and those who smoke cigarettes and also use cannabis (co-consumers). Thus, this study describes differences on sociodemographic, cigarette-dependence, health and behavioral variables, and risk perceptions associated with smoking cannabis. METHODS: This cross-sectional study included 6941 respondents from the 2020 ITC Four Country Smoking and Vaping Survey (US, Canada, Australia, England). Adult daily cigarette smokers were included and categorized as: cigarette-only smokers (never used cannabis/previously used cannabis, but not in the past 12 months, n = 4857); occasional co-consumers (cannabis use in the past 12 months, but < weekly use, n = 739); or regular co-consumers (use cannabis ≥ weekly, n = 1345). All outcomes were self-reported. Regression models were conducted on weighted data. RESULTS: Overall, 19.9 % of respondents reported regular cannabis co-use and 10.1 % reported occasional co-use. Regular co-use was highest in Canada (27.2 %), followed by the US (24.4 %), England (12.7 %) and Australia (12.3 %). Compared to cigarette-only smokers, regular co-consumers were more likely to be male and report chest/breathing problems (p < 0.001). All co-consumers were more likely to be younger, have lower income, be experiencing financial stress, reside in Canada, have depressive symptoms, use alcohol more frequently and binge drink, use other tobacco/nicotine products, and perceive smoking cannabis as low health risk and less harmful than smoking cigarettes (all p < 0.001). Cigarette dependence measures were similar between co-consumers and cigarette-only smokers (all p ≥ 0.05). CONCLUSIONS: Although there were no differences on cigarette dependence measures between daily cigarette smokers who do and do not use cannabis, there are several other risk factors that may affect tobacco use and abstinence among co-consumers (e.g., greater depression, high-risk alcohol consumption). Thus, tobacco cessation treatment may require multi-pronged strategies to address other health behaviors. Continued surveillance is needed to determine the nature and health implications of co-use considering changing policies, markets, and products.

Cannabis-only use in the USA: prevalence, demographics, use patterns, and health indicators.

BACKGROUND: The prevalence of adults who consume cannabis while abstaining from other substances is not known in the USA. This study used nationally representative data to estimate the prevalence and explore the demographic characteristics, cannabis use behaviors, and self-reported health of US adults with past 30-day cannabis-only use, as compared with adults who used cannabis as well as other substances. METHODS: Data came from adults 18 years and older who responded to the 2017 or 2018 National Survey on Drug Use and Health and reported past 30-day cannabis use (n = 12,143). Cannabis-only use was defined as past 30-day cannabis use with no past 30-day use of other substances (alcohol, tobacco, other illicit substances, non-prescribed controlled medications). Weighted frequencies and 95% confidence intervals (CI) were computed for all sociodemographic and cannabis-related variables, overall, and across the two categories of cannabis consumers, stratified by age. RESULTS: The prevalence of past 30-day cannabis-only use among US adults was 0.9% (95% CI: 0.8, 1.0) and varied by age (2.0% of 18-25 years old; 0.7% of 26-49 year olds, and 0.6% of those ≥ 50 years). Among adults with any past 30-day cannabis use, 8.4% (95% CI: 7.6, 9.2; n = 980) reported cannabis-only use. Age was significantly associated with past 30-day cannabis-only use, with adults 18-25 years and 26-49 years having higher odds of cannabis-only use compared with older adults. Past year cannabis dependence was lowest among cannabis-only consumers aged ≥ 50 years (0.2%; 95% CI: 0.1, 0.5) and highest among young adult cannabis and other substance consumers (16.7%; 95% CI: 15.3, 18.2). Past year prevalence of any mental illness was generally similar across cannabis use groups and by age. CONCLUSIONS: The prevalence of adult cannabis-only use in the US is low - most cannabis consumers report using other substances in the past 30 days as well. While cannabis-only use among older adults is rare, it does not appear to be accompanied by a high prevalence of dependence. These findings should guide future research and policymaking.

Comparison of Medical Cannabis Use Reported on a Confidential Survey vs Documented in the Electronic Health Record Among Primary Care Patients.

Importance: Patients who use cannabis for medical reasons may benefit from discussions with clinicians about health risks of cannabis and evidence-based treatment alternatives. However, little is known about the prevalence of medical cannabis use in primary care and how often it is documented in patient electronic health records (EHR). Objective: To estimate the primary care prevalence of medical cannabis use according to confidential patient survey and to compare the prevalence of medical cannabis use documented in the EHR with patient report. Design, Setting, and Participants: This study is a cross-sectional survey performed in a large health system that conducts routine cannabis screening in Washington state where medical and nonmedical cannabis use are legal. Among 108 950 patients who completed routine cannabis screening (between March 28, 2019, and September 12, 2019), 5000 were randomly selected for a confidential survey about cannabis use, using stratified random sampling for frequency of past-year use and patient race and ethnicity. Data were analyzed from November 2020 to December 2021. Exposures: Survey measures of patient-reported past-year cannabis use, medical cannabis use (ie, explicit medical use), and any health reason(s) for use (ie, implicit medical use). Main Outcomes and Measures: Survey data were linked to EHR data in the year before screening. EHR measures included documentation of explicit and/or implicit medical cannabis use. Analyses estimated the primary care prevalence of cannabis use and compared EHR-documented with patient-reported medical cannabis use, accounting for stratified sampling and nonresponse. Results: Overall, 1688 patients responded to the survey (34% response rate; mean [SD] age, 50.7 [17.5] years; 861 female [56%], 1184 White [74%], 1514 non-Hispanic [97%], and 1059 commercially insured [65%]). The primary care prevalence of any past-year patient-reported cannabis use on the survey was 38.8% (95% CI, 31.9%-46.1%), whereas the prevalence of explicit and implicit medical use were 26.5% (95% CI, 21.6%-31.3%) and 35.1% (95% CI, 29.3%-40.8%), respectively. The prevalence of EHR-documented medical cannabis use was 4.8% (95% CI, 3.45%-6.2%). Compared with patient-reported explicit medical use, the sensitivity and specificity of EHR-documented medical cannabis use were 10.0% (95% CI, 4.4%-15.6%) and 97.1% (95% CI, 94.4%-99.8%), respectively. Conclusions and Relevance: These findings suggest that medical cannabis use is common among primary care patients in a state with legal use, and most use is not documented in the EHR. Patient report of health reasons for cannabis use identifies more medical use compared with explicit questions about medical use.

Self-Reported Medical and Nonmedical Cannabis Use: Results from the 2018 Behavioral Risk Factor Surveillance System in 14 States.

As policies legalizing adult cannabis use increase in the United States, understanding and characterizing the proportion of individuals consuming cannabis for medical and nonmedical purposes is important to inform targeted health education efforts. Data came from 7672 adults (> = 18 years) with past month cannabis use who responded to questions about reason for cannabis use on the 2018 Behavioral Risk Factor Surveillance System survey in 14 states. State and aggregated data were analyzed using weighted frequencies for descriptive analyses, and prevalence ratios were computed to identify demographic and substance use characteristics associated with medical only use or use for both medical and nonmedical reasons (vs. nonmedical use). Overall, 28.6% (95% CI: 26.7, 30.4) of adults who use cannabis reported using cannabis medically, 34.2% (95% CI: 32.3, 36.2) nonmedically, and 37.2% (95% CI: 35.2, 39.2) both medically and nonmedically. Characteristics associated with medical only use (compared with nonmedical only use) included being female; aged > 45 years; out of work, a homemaker, or unable to work; having daily or near daily cannabis use; having past month cigarette use; having no past month alcohol use; self-reporting poor health; and ever having been diagnosed with certain chronic diseases. Medical only use of cannabis is the least prevalent reason for use; use for both medical and nonmedical reasons is the most prevalent. Monitoring reasons for cannabis use can aid states in understanding differences between medical and nonmedical cannabis users, providing context to use patterns, and targeting health education messages to appropriate audiences.

Clinician Beliefs and Practices Related to Cannabis.

Introduction: Medical cannabis (marijuana) use is legal in 33 U.S. states and the District of Columbia. Clinicians can play an important role in helping patients access and weigh potential benefits and risks of medicinal cannabis. Accordingly, this study aimed to assess clinician beliefs and practices related to cannabis. Methods: Data are from 1506 family practice doctors, internists, nurse practitioners, and oncologists who responded to the 2018 DocStyles, a web-based panel survey of clinicians. Questions assessed medicinal uses for and practices related to cannabis and assessed clinicians' knowledge of cannabis legality in their state. Logistic regression was used to assess multivariable correlates of asking about, assessing, and recommending cannabis. Results: Over two-thirds (68.9%) of clinicians surveyed believe that cannabis has medicinal uses and just over a quarter (26.6%) had ever recommended cannabis to a patient. Clinicians who believed cannabis had medicinal uses had 5.9 times the adjusted odds (95% confidence interval 3.9-8.9) of recommending cannabis to patients. Beliefs about conditions for medical cannabis use did not necessarily align with the current scientific evidence. Nearly two-thirds (60.0%) of clinicians surveyed incorrectly reported the legal status of cannabis in their state. Discussion: Findings suggest that while clinicians believe that cannabis has medicinal uses, they may not have a full understanding of the scientific evidence and may not accurately understand their state-based policies for cannabis legalization and use. Given that clinicians are responsible for recommending medicinal cannabis in most states that have legalized it, ongoing education about the health effects of cannabis is warranted.

Cannabis Policy in the United States: Implications for Public Health.

INTRODUCTION: As of January 2021, a total of 36 states and the District of Columbia (DC) have legalized medical cannabis use, and 14 states and DC have legalized adult nonmedical use. This manuscript qualitatively summarizes cannabis policies across states with legal adult use marketplaces. METHODS: Data are from state laws and regulations, collected through January 2021, and have been verified with state officials as part of ongoing state policy tracking efforts. RESULTS: State policies differ in how cannabis products are taxed, where revenues are allocated, restrictions on the types of available products, restrictions on additives and flavors, product packaging and labeling, advertising restrictions, where cannabis can be consumed, and approaches to social equity. CONCLUSION: Timely, accurate, and longitudinal state and local cannabis policy data are needed to understand the implications of legalization. Careful study of policy differences across and within states is warranted, as differences may affect public health and consumer safety.

Cannabis sales increases during COVID-19: Findings from Alaska, Colorado, Oregon, and Washington.

BACKGROUND AND AIMS: Following emergency declarations related to COVID-19 in the United States, many states issued stay-at-home orders and designated essential business categories. Most states allowed medical and/or non-medical adult-use cannabis retailers to remain open. This study assesses changes in cannabis sales across Alaska, Colorado, Oregon, and Washington before and during the pandemic. METHODS: Pre-tax sales data from cannabis marketplaces in four states were analyzed to identify trends from January 2018-December 2020. Mean monthly sales and relative percent change in mean monthly sales were compared by state from April-December (coinciding with the pandemic) in 2018, 2019, and 2020. Differences were assessed using the nonparametric Mann-Whitney-U test. RESULTS: Mean monthly cannabis sales in all four states were higher during the pandemic period in 2020 compared to the same period in 2019. Sales reached a three-year peak in Washington in May 2020 and in Alaska, Colorado, and Oregon in July 2020. From April-December, the percent change in mean monthly sales from 2019 to 2020 was significantly higher than 2018-2019 in all four states, though Alaska saw similar increases between 2018-2019 and 2019-2020. CONCLUSION: To date, cannabis sales in Alaska, Colorado, Oregon, and Washington have increased more during the COVID-19 pandemic than in the previous two years. In light of these increases, data monitoring by states and CDC is warranted to understand how patterns of use are changing, which populations are demonstrating changes in use, and how such changes may affect substance use and related public health outcomes.

Adolescent Marijuana Use and Related Risk Behaviors, National Findings From 2015 to 2017.

INTRODUCTION: As policies legalizing nonmedical marijuana have increased in states, understanding the implications of marijuana use among adolescents is increasingly important. This study uses nationally representative data to assess behavioral risk factors among students with different patterns of marijuana use. METHODS: Data from the 2015 and 2017 Youth Risk Behavior Surveys, cross-sectional surveys conducted among a nationally representative sample of students in Grades 9-12 (n=30,389), were used to examine the association between self-reported current marijuana use status and self-report of 30 risk behaviors across 3 domains: substance use, injury/violence, and sexual health. Among current marijuana users, authors assessed differences between established (≥100 lifetime uses) and nonestablished (<100 uses) users. Multivariable models were used to calculate adjusted prevalence ratios. Data were analyzed in 2019. RESULTS: Current marijuana users (regardless of use pattern) had a significantly greater likelihood of engaging in 27 of the 30 behaviors assessed across the 3 domains than the noncurrent users. Those with established use patterns (versus nonestablished) had a greater risk of lifetime use of most other substances (licit and illicit, including tobacco, alcohol, heroin, misuse of opioids), some injury/violence behaviors (including driving while using marijuana and suicide ideation and attempt), and sexual risk behaviors. CONCLUSIONS: Both established and nonestablished patterns of adolescent marijuana use are associated with a number of other risky behaviors. In addition to interventions focused on preventing youth initiation of marijuana, clinicians and public health professionals should consider interventions to help adolescents who have nonestablished use patterns to avoid continued, established use.

Marijuana Use and Adherence to Smoking Cessation Treatment Among Callers to Tobacco Quitlines.

INTRODUCTION: Tobacco kills over half a million adults annually in the United States. Most smokers want to quit, and over 400,000 call state-funded quitlines for help each year. Marijuana use among tobacco users is common and may impede quitting, but co-use rates among quitline callers are unknown. The purpose of our observational study was to describe marijuana use among quitline callers in states with legalized marijuana. METHODS: Participants were 1,059 smokers aged 21 or older from Oregon, Alaska, and Washington, DC, who called quitlines from September through December 2016. Data on quitline callers' demographics, tobacco and marijuana use, and quitline use were collected. We used χ2 and regression analyses to compare marijuana users with nonusers on demographic characteristics and quitline use. RESULT: Among quitline callers in our study, 24% reported using marijuana in the past 30 days: 28.9% in Alaska, 16.7% in Washington, DC, and 25.0% in Oregon (P = .009). Current users, compared with non-users (n = 772), were less likely to be women (48.4% vs 62.0%, respectively, P < .001). Current marijuana users were less likely to be given nicotine replacement therapy (68.4%) than current nonusers (74.1%) (P < .001), but more likely to complete 3 or more counseling calls (P = .005). Of those who used marijuana in the past 30 days, 62.3% used marijuana on 1 to 19 days, 9.0% used on 20 to 29 days, and 28.7% on all 30 days. Among current marijuana users, the percentage who wanted to quit or reduce marijuana use (42.6%) was higher in Alaska (54.6%) and the District of Columbia (56.8%) than in Oregon (37.9%), P = .03. CONCLUSION: One in 4 quitline callers reported past 30-day marijuana use. Given that nearly half (43%) wanted to reduce marijuana use, addressing co-use may be an important addition to quitline treatment. Future studies should assess co-use effects on tobacco cessation outcomes and explore combined treatment or bidirectional referrals between quitlines and marijuana treatment providers.

Current marijuana use among women of reproductive age.

BACKGROUND: The objective of this study was to estimate the prevalence of current (past 30 days) marijuana use and its associations with demographic, other substance use, chronic disease, physical health and mental health measures among women of reproductive age (18-44 years) in 12 US states. METHODS: This analysis used 2016 Behavioral Risk Factor Surveillance System (BRFSS) data from 16,556 women of reproductive age in 12 US states. Women self-reported current marijuana use and covariates. Weighted χ2 statistics and adjusted prevalence ratios (aPR) were calculated accounting for the complex survey design. RESULTS: Among women of reproductive age, 9.9 % reported current marijuana use. Current cigarette use (aPR: 2.0, 95 % CI: 1.6, 2.6), current e-cigarette use (aPR: 1.9, 95 % CI: 1.4, 2.6), binge drinking (aPR: 2.6, 95 % CI: 1.9, 3.6), ever having received a depression diagnosis (aPR: 1.6, 95 % CI: 1.2, 2.1), and ≥14 days of poor mental health in the past 30 days (aPR: 1.8, 95 % CI: 1.3, 2.4) were all associated with higher adjusted prevalence of current marijuana use. Reporting ≥14 days of poor physical health within the last 30 was associated with a 40 % lower adjusted prevalence of current marijuana use (aPR: 0.6, 95 % CI: 0.4, 0.8). CONCLUSION: Current marijuana use among women of reproductive age was associated with other substance use, poor mental health, and depression. As state laws concerning marijuana use continue to change, it is important to monitor usage patterns and to assess associated health risks in this population.

Modes of marijuana use - smoking, vaping, eating, and dabbing: Results from the 2016 BRFSS in 12 States.

BACKGROUND: The prevalence of modes of marijuana use (e.g., smoked, vaped, eaten, dabbed, etc.), and of multi-modal use has not been assessed across multiple states, and can inform marijuana prevention and education work, given that certain modes of use are associated with specific public health risks. This study aimed to assess the prevalence of different modalities of reported marijuana use among adults in 12 states. METHODS: Data came from 6174 adult marijuana users age 18 and older who responded to questions about past month and mode of marijuana use on the 2016 BRFSS surveys in 12 states with varied state marijuana policies. We used weighted frequencies for descriptive analyses, and logistic regression to identify correlates of multi-modal use. RESULTS: The prevalence of past month (current) marijuana use among adults in these states was 9.1 % (males = 12.0 %, females= 6.3 %). Among current marijuana users, 33.7 % reported multiple methods of marijuana use, 90.1 % reported any marijuana smoking (e.g., joints, blunts, bongs, bowls), 58.3 % reported only smoking (no other modes of consumption), 24.5 % reported any edible use, 4.5 % reported using only edibles, 19.4 % reported any marijuana vaping, 2.1 % reported only vaping, 14.5 % reported any dabbing (flash vaporization/inhalation of highly concentrated marijuana), and 0.4 % reported only dabbing. Correlates of multimodal use are also examined. CONCLUSION: Multi-modal use of marijuana is common, and use of non-smoked marijuana (edibles, vaping, dabbing) often occurs in conjunction with other modes of marijuana use. Ongoing surveillance of marijuana modes of use and multi-modal use is warranted to inform public education and prevention.

Self-reported exposure to, perceptions about, and attitudes about public marijuana smoking among US adults, 2018.

BACKGROUND AND AIMS: Eleven US states and the District of Columbia have legalized the non-medical use of marijuana. Public marijuana smoking is generally prohibited, although some states have considered exemptions. This study assessed attitudes about public marijuana smoking, perceptions of harm from marijuana second-hand smoke (SHS) and self-reported marijuana SHS exposure. DESIGN: Internet panel survey fielded in June-July 2018. SETTING: United States. PARTICIPANTS: US adults aged ≥ 18 years (n = 4088). MEASUREMENTS: Current (past-30 day) tobacco product use, current marijuana use, opinions about public indoor marijuana smoking, perceptions of harm from marijuana SHS and self-reported past-7 day exposure to marijuana SHS in public indoor or outdoor areas were assessed. Weighted prevalence estimates were computed and correlates were assessed using logistic and multinomial regression. FINDINGS: Overall, 27.4% [95% confidence interval (CI) = 25.7, 29.1] of adults reported past-week marijuana SHS exposure in indoor and/or outdoor public areas; younger adults, blacks, Hispanics, those in the Northeast or West, and current marijuana and/or tobacco users were more commonly exposed (Ps < 0.0001). More than half of adults (52.4%; 95% CI = 50.7, 54.2) regarded marijuana SHS as harmful, and most (81.0%; 95% CI = 79.5, 82.4) opposed public marijuana smoking. Correlates of favoring public marijuana smoking included being male, younger (Ps < 0.01), black or Hispanic, past-month tobacco and/or marijuana users and perceiving no/low harm from marijuana SHS (Ps < 0.0001). CONCLUSION: While one in four US adults report recent marijuana second-hand smoke exposure, a majority believe marijuana second-hand smoke is harmful and most oppose public marijuana smoking.

Substances used in electronic vapor products among adults in the United States, 2017.

INTRODUCTION: Electronic vapor products (EVPs), including e-cigarettes, can be used to aerosolize many substances. Examination of substances used in EVPs by US adults has been limited; we assessed past-year use of EVPs to deliver various substances. METHODS: Data came from the 2017 SummerStyles Survey, a web-based survey of US adults (N = 4107). Ever EVP users were asked if they had used nicotine, marijuana, flavors or "something else" in an EVP during the past year. Weighted estimates for any, exclusive, and combined EVP substance use were calculated among ever (n = 586) and current (past 30-day; n = 121) EVP users. RESULTS: Past-year use of nicotine, flavors, and marijuana in EVPs was 30.7%, 23.6%, and 12.5% among ever EVP users, respectively; and 72.3%, 54.6%, and 17.8% among current EVP users. Among ever EVP users, the most commonly used substances were nicotine only (29.6%), nicotine plus flavors (27.2%), flavors only (16.4%), and marijuana only (14.9%). Among current EVP users, the most common substances used were nicotine plus flavors (39.1%), nicotine only (29.6%), and flavors only (11.2%). Among ever users, males and 18-29 year olds were more likely to report use of flavors than females and respondents ≥30 years. CONCLUSIONS: Approximately 7 in 10 current EVP users reported nicotine use, about 1 in 2 used flavors, and nearly 1 in 6 used marijuana. These findings suggest that EVPs are used to consume a variety of substances and could guide efforts to address tobacco and non-tobacco substance use.

State-Specific Prevalence of Quit Attempts Among Adult Cigarette Smokers - United States, 2011-2017.

From 1965 to 2017, the prevalence of cigarette smoking among U.S. adults aged ≥18 years decreased from 42.4% to 14.0%, in part because of increases in smoking cessation (1,2). Increasing smoking cessation can reduce smoking-related disease, death, and health care expenditures (3). Increases in cessation are driven in large part by increases in quit attempts (4). Healthy People 2020 objective 4.1 calls for increasing the proportion of U.S. adult cigarette smokers who made a past-year quit attempt to ≥80% (5). To assess state-specific trends in the prevalence of past-year quit attempts among adult cigarette smokers, CDC analyzed data from the 2011-2017 Behavioral Risk Factor Surveillance System (BRFSS) surveys for all 50 states, the District of Columbia (DC), Guam, and Puerto Rico. During 2011-2017, quit attempt prevalence increased in four states (Kansas, Louisiana, Virginia, and West Virginia), declined in two states (New York and Tennessee), and did not significantly change in the remaining 44 states, DC, and two territories. In 2017, the prevalence of past-year quit attempts ranged from 58.6% in Wisconsin to 72.3% in Guam, with a median of 65.4%. In 2017, older smokers were less likely than younger smokers to make a quit attempt in most states. Implementation of comprehensive state tobacco control programs and evidence-based tobacco control interventions, including barrier-free access to cessation treatments, can increase the number of smokers who make quit attempts and succeed in quitting (2,3).