Associations between cannabis policies and state-level specialty cannabis use disorder treatment in the United States, 2004-2019.

BACKGROUND: Cannabis use disorder (CUD) treatment prevalence decreased in the US between 2002 and 2019, yet structural mechanisms for this decrease are poorly understood. We tested associations between cannabis laws becoming effective and self-reported CUD treatment. METHODS: Restricted-use 2004-2019 National Surveys on Drug Use and Health included people ages 12+ classified as needing CUD treatment (i.e., past-year DSM-5-proxy CUD or last/current specialty treatment for cannabis). Time-varying indicators of medical cannabis laws (MCL) with/without cannabis dispensary provisions differentiated state-years before/after laws using effective dates. Multi-level logistic regressions with random state intercepts estimated individual- and state-adjusted CUD treatment odds by MCLs and model-based changes in specialty CUD treatment state-level prevalence. Secondary analyses tested associations between CUD treatment and MCL or recreational cannabis laws (RCL). RESULTS: Using a broad treatment need sample definition in 2004-2014, specialty CUD treatment prevalence decreased by 1.35 (95 % CI = -2.51, -0.18) points after MCL without dispensaries and by 2.15 points (95 % CI = -3.29, -1.00) after MCL with dispensaries provisions became effective, compared to before MCL. Among people with CUD in 2004-2014, specialty treatment decreased only in MCL states with dispensary provisions (aPD = -0.91, 95 % CI = -1.68, -0.13). MCL were not associated with CUD treatment use in 2015-2019. RCL were associated with lower CUD treatment among people classified as needing CUD treatment, but not among people with past-year CUD. CONCLUSIONS: Policy-related reductions in specialty CUD treatment were concentrated in states with cannabis dispensary provisions in 2004-2014, but not 2015-2019, and partly driven by reductions among people without past-year CUD. Other mechanisms (e.g., CUD symptom identification, criminal-legal referrals) could contribute to decreasing treatment trends.

Impact and Equity of New York City's Tobacco Retail Reduction Initiative.

INTRODUCTION: High levels of tobacco retailer density in communities is associated with a range of tobacco use behaviors and is a key structural driver of tobacco-related disparities. This study evaluates the impacts of New York City's (NYC) novel policy intervention to cap tobacco retail licenses on tobacco retailer density levels and neighborhood inequities in tobacco access. METHODS: Using geocoded tobacco retail licensing data from 2010 to 2022, Bayesian conditional autoregressive Poisson panel models estimated the association between policy implementation in 2018 and retailer density per 1,000 population, controlling for neighborhood-level sociodemographic factors. Data were analyzed in 2023. RESULTS: The number of tobacco retail licenses decreased from 9,304 in 2010 to 5,107 in 2022, with the rate of decline significantly accelerating post-policy (-14·2% versus -34·2%). Policy effects were stronger in districts with lower income and greater proportions of non-Hispanic Black residents. CONCLUSIONS: NYC's policy substantially reduced tobacco retailer density and appeared to close longstanding patterns of inequity in tobacco access, serving as a rare example of a tobacco control policy that may effectively reduce tobacco-related disparities. This emergent approach to restructure tobacco retail in communities may reach populations that have not benefitted from traditional tobacco control policies and should be considered by other localities.

Longitudinal assessment of COVID-19 vaccine uptake: A two-wave survey of a nationally representative U.S. sample.

Understanding factors that influence those who are initially COVID-19 vaccine hesitant to accept vaccination is valuable for the development of vaccine promotion strategies. Using Ipsos KnowledgePanel®, we conducted a national survey of adults aged 18 and older in the United States. We created a questionnaire to examine factors associated with COVID-19 vaccine uptake over a longitudinal period ("Wave 1" in April 2021 and "Wave 2" in February 2022), and utilized weighted data provided by Ipsos to make the data nationally representative. Overall, 1189 individuals participated in the Wave 1 survey, and 843 participants completed the Wave 2 survey (71.6% retention rate). Those who intended to be vaccinated as soon as possible ("ASAP") were overwhelmingly vaccinated by Wave 2 (96%, 95% CI: 92% to 100%). Of those who initially wished to delay vaccination until there was more experience with it ("Wait and See"), 57% (95% CI: 47% to 67%) were vaccinated at Wave 2. Within the "Wait and See" cohort, those with income <$50,000 and those who had never received the influenza vaccine were significantly less likely to be vaccinated at Wave 2. Among those who initially indicated that they would not receive a COVID-19 vaccine ("Non-Acceptors"), 28% (95% CI: 21% to 36%) were vaccinated at Wave 2. Those who believed COVID-19 was not a major problem in their community were significantly less likely to be vaccinated, while those with more favorable attitudes toward vaccines in general and public health strategies to decrease the impact of COVID-19 were significantly more likely to be vaccinated. Overall, barriers to vaccine uptake for the "Wait and See" cohort appear to be more practical, whereas barriers for the "Non-Acceptor" cohort seem to be more ideological. These findings will help target interventions to improve uptake of COVID-19 boosters and future novel vaccines.

Factors impacting parental uptake of COVID-19 vaccination for U.S. Children ages 5-17.

COVID-19 vaccination of U.S. children lags behind adult vaccination, but remains critical in mitigating the pandemic. Using a subset of a nationally representative survey, this study examined factors contributing to parental uptake of COVID-19 vaccine for children ages 12-17 and 5-11, stratified by parental COVID-19 vaccination status. Among vaccinated parents, uptake was higher for 12-17-year-olds (78.6%) than 5-11-year-olds (50.7%); only two unvaccinated parents vaccinated their children. Child influenza vaccination was predictive of uptake for both age groups, while side effect concerns remained significant only for younger children. Although parents were more likely to involve adolescents in vaccine decision-making than younger children, this was not predictive of vaccine uptake. These results highlight the importance of addressing the unique and shared concerns parents have regarding COVID-19 vaccination for children of varying ages. Future work should further explore adolescent/child perspectives of involvement in COVID-19 vaccination decision-making to support developmentally appropriate involvement.

Naloxone expansion is not associated with increases in adolescent heroin use and injection drug use: Evidence from 44 US states.

BACKGROUND: Naloxone distribution is central to ongoing efforts to address the opioid overdose crisis. Some critics contend that naloxone expansion may inadvertently promote high-risk substance use behaviors among adolescents, but this question has not been directly investigated. METHODS: We examined relationships between naloxone access laws and pharmacy naloxone distribution with lifetime heroin and injection drug use (IDU), 2007-2019. Models generating adjusted odds ratios (aOR) and 95% confidence intervals (CI) included year and state fixed effects, controlled for demographics and sources of variation in opioid environments (e.g., fentanyl penetration), as well as additional policies expected to impact substance use (e.g., prescription drug monitoring). Exploratory and sensitivity analyses further examined naloxone law provisions (e.g., third-party prescribing) and applied e-value testing to assess vulnerability to unmeasured confounding. RESULTS: Adoption of any naloxone law was not associated with changes in adolescent lifetime heroin or IDU. For pharmacy dispensing, we observed a small decrease in heroin use (aOR: 0.95 [CI: 0.92, 0.99]) and a small increase in IDU (aOR: 1.07 [CI: 1.02, 1.11]). Exploratory analyses of law provisions suggested that third-party prescribing (aOR: 0.80, [CI: 0.66, 0.96]) and non-patient-specific dispensing models (aOR: 0.78, [CI: 0.61, 0.99]) were associated with decreased heroin use but not decreased IDU. Small e-values associated with the pharmacy dispensing and provision estimates indicate that unmeasured confounding may explain observed findings. CONCLUSION: Naloxone access laws and pharmacy naloxone distribution were more consistently associated with decreases rather than increases in lifetime heroin and IDU among adolescents. Our findings therefore do not support concerns that naloxone access promotes high-risk adolescent substance use behaviors. As of 2019, all US states have adopted legislation to improve naloxone access and facilitate use. However, further removal of adolescent naloxone access barriers is an important priority given that the opioid epidemic continues to affect people of all ages.

COVID-19 vaccine uptake and attitudes towards mandates in a nationally representative U.S. sample.

Widespread uptake of COVID-19 vaccination is vital to curtailing the pandemic, yet rates remain suboptimal in the U.S. Vaccine mandates have previously been successful, but are controversial. An April 2021 survey of a nationally representative sample (N = 1208) examined vaccine uptake, attitudes, and sociodemographic characteristics. Sixty-seven percent were vaccine acceptors, 14% wait-and-see, and 19% non-acceptors. Compared to wait-and-see and non-acceptors, acceptors were more likely to have a household member over age 65, have received a flu shot, have positive COVID-19 vaccine attitudes, and view COVID-19 vaccination as beneficial. Mandate support was higher among respondents who were vaccine acceptors, had positive views about COVID-19 vaccines, believed in COVID-19 preventive strategies, perceived COVID-19 as severe, were liberal, resided in the Northeast, were non-White, and had incomes < $75,000. Public health campaigns should target attitudes that appear to drive hesitancy and prepare for varying mandate support based on demographics, COVID-19 vaccine attitudes, and the scope of the mandate.

Adult Medical Cannabinoid Use and Changes in Prescription Controlled Substance Use.

Introduction: Nonopioid-based strategies for managing chronic noncancer pain are needed to help reduce overdose deaths. Although lab studies and population-level data suggest that cannabinoids could provide opioid-sparing effects, among medical cannabis participants they may also impact overdose risk by modifying other controlled substance use such as sedative hypnotics. However, no study has combined observational data at the individual level to empirically address interactions between the use of cannabinoids and prescribed controlled substances. Methods: Electronic health records, including prescription drug monitoring program data, from a large multisite medical cannabis program in New York State were abstracted for all participants with noncancer pain and recently prescribed noncannabinoid controlled substances who completed a new intake visit from April 15, 2018-April 14, 2019 and who remained actively in treatment for >180 days. Participants were partitioned into two samples: those with recent opioid use and those with active opioid use and co-use of sedative hypnotics. A patient-month level analysis assessed total average equivalent milligrams by class of drug (i.e., cannabinoid distinguishing tetrahydrocannabinol [THC] vs. cannabidiol [CBD], opioids, and sedative-hypnotics) received as a time-varying outcome measure across each 30-day "month" period postintake for at least 6 months for all participants. Results: Sample 1 of 285 opioid users were 61.1 years of age (±13.5), 57.5% female, and using an average of 49.7 (±98.5) morphine equivalents daily at intake. Unadjusted analyses found a modest decline in morphine equivalents to 43.9 mg (±94.1 mg) from 49.7 (±98.5) in month 1 (p=0.047) while receiving relatively low doses of THC (2.93 mg/day) and CBD (2.15 mg/day). Sample 2 of 95 opioid and sedative-hypnotic users were 60.9 years of age (±13.1), 63.2% female, and using an average of 86.6 (±136.2) morphine equivalents daily, and an average of 4.3 (±5.6) lorazepam equivalents. Unadjusted analyses did not find significant changes in either morphine equivalents (p=0.81) or lorazepam equivalents (p=0.980), and patients similarly received relatively low doses of THC (2.32 mg/day) and CBD (2.24 mg/day). Conclusions: Findings demonstrated minimal to no change in either opioids or sedative hypnotics over the 6 months of medical cannabis use but may be limited by low retention rates, external generalizability, and an inability to account for nonprescribed substance use.

Global Pain and Aging: A Cross-Sectional Study on Age Differences in the Intensity of Chronic Pain Among Middle-Aged and Older Adults in 20 Countries.

OBJECTIVES: This study aims to examine age differences in the intensity of chronic pain among middle-aged and older adults, where intensity is measured on a scale differentiating between chronic pain that is often troubling and likely requires intervention versus more endurable sensations. We aim to explore whether individual health and national gross domestic product (GDP) explain these differences as well. METHODS: Cross-nationally harmonized data from 20 countries on self-reported intensity of chronic pain (0 = no, 1 = mild, 2 = moderate, 3 = severe) in 104,826 individuals aged 50+ observed in 2012-2013. Two-level hierarchical ordinal linear models with individuals nested within countries were used to isolate estimations from heterogeneity explained by methodological differences across single-country studies. RESULTS: Overall, mean participant age was 66.9 (SD = 9.9), 56.1% were women, and 41.9% of respondents reported any chronic pain. Chronic pain intensity rose sharply with age in some countries (e.g., Korea and Slovenia), but this association waned or reversed in other countries (e.g., the United States and Denmark). Cross-country variation and age differences in chronic pain were partly explained (85.5% and 35.8%, respectively) by individual-level health (especially arthritis), country-level wealth (as indicated by GDP per capita), and demographics. DISCUSSION: Chronic pain intensity is not an inevitable consequence of chronological age, but the consequence of potential selection effects and lower activity levels combined with individual-level health and country-level wealth. Our findings suggest further investigation of health conditions and country affluence settings as potential targets of medical and policy interventions aiming to prevent, reduce, or manage chronic pain among older patients and aging populations.

Medicaid Expansion and Racial-Ethnic Health Care Coverage Disparities Among Low-Income Adults With Substance Use Disorders.

OBJECTIVE: In light of historical racial-ethnic disparities in health care coverage, the authors assessed changes in coverage in nationally representative samples of Black, White, and Hispanic low-income adults with substance use disorders after the 2014 Affordable Care Act Medicaid expansion. METHODS: Data from 12 years of the annual National Survey on Drug Use and Health (2008-2019) identified low-income adults ages 18-64 years with alcohol, cannabis, cocaine, or heroin use disorder (N=749,033). Trends in coverage focused on non-Hispanic Black, non-Hispanic White, and Hispanic individuals. Age- and sex-adjusted difference-in-differences analysis assessed effects of expansion state residence on insurance coverage for the three groups. RESULTS: Before Medicaid expansion (2008-2013), 38.5% of Black, 37.6% of White, and 51.2% of Hispanic low-income adults with substance use disorders were uninsured. After expansion (2014-2019), these proportions significantly declined for Black (24.2%), White (22.0%), and Hispanic (34.5%) groups. Decreases in rates of individuals without insurance and increases in Medicaid coverage tended to be more pronounced for those in expansion states than for those in nonexpansion states. In nonexpansion states, the proportions of those without insurance significantly decreased among Black and White individuals but not among Hispanic individuals. Proportions receiving past-year substance use treatment did not significantly change and remained low postexpansion: Black, 10.7%; White, 14.6%; and Hispanic, 9.0%. CONCLUSIONS: After Medicaid expansion, coverage increased for low-income Black, White, and Hispanic adults with substance use disorders. For all three groups, Medicaid coverage disproportionately increased among those living in expansion states. However, coverage remained far from universal, especially for Hispanic adults with substance use disorders.

The impact of financial incentives on COVID-19 vaccination intention among a sample of U.S. adults.

Financial incentives are one of several strategies that have been explored to enhance COVID-19 vaccine uptake. Although widely discussed, it is unclear how much of an incentive and for which subset of individuals incentives would be effective. This study explored the impact of hypothetical $600 or $1200 incentives on COVID-19 vaccination intention. From a nationally representative panel of U.S. adults, 346 individuals reported hesitance towards COVID-19 vaccination and were then asked about their willingness to accept a vaccine if offered hypothetical incentives. Results indicated 26.89% would get vaccinated if offered $600, and 30.06% if offered $1200. In the multivariable model that included sociodemographic and attitudinal predictors of vaccine uptake, those classified as 'wait-and-see' compared to those classified as non-acceptors were more likely to accept COVID-19 vaccines when given financial incentives, and those who believed more strongly in the benefits of COVID-19 vaccines were more likely to accept a vaccine when first offered hypothetical $600 and then $1200 incentives. Individuals unsure if they ever had COVID-19 were significantly less likely to be willing to get the vaccine for $1200 as compared to those who believed they previously had COVID-19. These results suggest that financial incentives can increase intention to receive a COVID-19 vaccine.

Non-prescribed buprenorphine preceding treatment intake and clinical outcomes for opioid use disorder.

OBJECTIVE: Successful retention on buprenorphine improves outcomes for opioid use disorder (OUD); however, we know little about associations between use of non-prescribed buprenorphine (NPB) preceding treatment intake and clinical outcomes. METHODS: The study conducted observational retrospective analysis of abstracted electronic health record (EHR) data from a multi-state nationwide office-based opioid treatment program. The study observed a random sample of 1000 newly admitted patients with OUD for buprenorphine maintenance (2015-2018) for up to 12 months following intake. We measured use of NPB by mandatory intake drug testing and manual EHR coding. Outcomes included hazards of treatment discontinuation and rates of opioid use. RESULTS: Compared to patients testing negative for buprenorphine at intake, those testing positive (59.6%) had lower hazards of treatment discontinuation (HR = 0.52, 95% CI: 0.44, 0.60, p < 0.01). Results were little changed following adjustment for baseline opioid use and other patient characteristics (aHR: 0.60, 95% CI: 0.51, 0.70, p < 0.01). Risk of discontinuation did not significantly differ between patients by buprenorphine source: prescribed v. NPB (reference) at admission (HR = 1.15, 95% CI: 0.90, 1.46). Opioid use was lower in the buprenorphine positive group at admission (25.0% vs. 53.1%, p < 0.0001) and throughout early months of treatment but converged after 7 months for those remaining in care (17.1% vs. 16.5%, p = 0.89). CONCLUSION: NPB preceding treatment intake was associated with decreased hazards of treatment discontinuation and lower opioid use. These findings suggest use of NPB may be a marker of treatment readiness and that buprenorphine testing at intake may have predictive value for clinical assessments regarding risk of early treatment discontinuation.

Healthcare coverage and service access for low-income adults with substance use disorders.

INTRODUCTION: Although health coverage facilitates service access to adults in the general population, uncertainty exists over the extent to which this relationship extends to low-income adults with substance use disorders. METHODS: The health status and service use patterns of low-income adults with substance use disorders who had continuous, discontinuous, and no past year health coverage were compared using data from the 2015-2019 National Survey on Drug Use and Health (NSDUH). The NSDUH is a nationally representative survey of the civilian non-institutionalized population. RESULTS: In the weighted sample (unweighted n = 9243), approximately 65.66% of low-income adults with substance use disorders had continuous coverage, 17.03% had discontinuous coverage, and 17.31% had no insurance coverage during the past year. Although few group differences were observed in self-reported health status, the uninsured group compared to the discontinously and continuously covered groups, respectively, was less likely to report a past year substance use treatment visit (11.03% vs. 14.83% vs. 15.61%), an outpatient care visit (53.39% vs. 71.27% vs. 79.04%), an emergency department visit (33.33% vs. 45.76% vs. 45.57%), or an inpatient admission (9.24% vs. 15.11% vs. 15.58%). CONCLUSIONS: Although the cross sectional design limits causal inferences, the correlations between lacking health insurance and low rates of substance use treatment and healthcare use raise the possibility that increasing healthcare coverage might increase access to substance use treatment and other needed healthcare services for low-income adults with substance use disorders.

Change in avoidance and negative grief-related cognitions mediates treatment outcome in older adults with prolonged grief disorder.

Objective: The present study investigated the role of the two theoretically derived mediators in the treatment of Prolonged Grief Disorder (PGD). Mediators were changes in avoidance and maladaptive cognitions. An additional hypothesis tested whether these candidate mediators are specific to CBT-based Complicated Grief Treatment (CGT) compared to Interpersonal Therapy (IPT). Method: We performed secondary analyses with assessment completers (n = 131) from a randomized-controlled trial with older adults with PGD. Patients received 16 sessions of CGT or IPT. Outcomes were treatment response and reductions in grief symptoms and grief-related related impairment. Results: Reductions in avoidance between baseline and week 16 mediated reductions in grief symptoms and grief-related impairment. Reductions in maladaptive grief-related cognitions over the same period mediated treatment response, reductions in grief symptoms and grief-related impairment. There were no significant treatment-mediator interactions. We could not establish that mediators changed before the outcomes. Conclusion: Results are consistent with theoretical models of PGD, including the CGT treatment model. Despite different therapeutic procedures, we found no significant interaction effect, but CGT produced larger effects. Future research needs to establish a timeline of change through the use of multiple measurements of mediators and outcomes.Trial registration: ClinicalTrials.gov identifier: NCT01244295.

Grief-related beliefs in shidu parents with and without prolonged grief disorder: Psychometric properties of a Chinese version of the Typical Beliefs Questionnaire.

The Typical Beliefs Questionnaire (TBQ) assesses common grief-related cognitions, which demonstrated satisfactory psychometric properties in a treatment-seeking sample with prolonged grief disorder (PGD). Chinese shidu parents (bereaved parents over the age of 49 who have lost their only child) are at a high risk of PGD. The current study aimed to examine psychometric properties of the Chinese version of the TBQ (TBQ-C) in a community sample of shidu parents with and without PGD, to compare this to the original validation clinical sample in the United States bereaved of any close relationship and to consider its use as a clinical tool. We examined the rate of positive endorsement, factor structure, internal consistency and validity of the TBQ-C in 310 community-based shidu parents (including 102 who met the criteria for PGD). Results showed that the rate of positive endorsement for each item ranged from 7.2% to 48.6% among non-PGD participants and from 20.6% to 92.2% among PGD participants. Confirmatory factor analysis indicated that the original five-factor structure fit both the non-PGD and PGD shidu parents. The TBQ-C showed acceptable internal consistency and satisfactory convergent and concurrent validity in both groups. It had good discriminant validity and can be helpful in distinguishing shidu parents with and without PGD. The TBQ-C can be used to investigate common grief-related beliefs that may be problematic for both shidu parents with and without PGD.

Racial and Ethnic Differences in Cannabis Use Following Legalization in US States With Medical Cannabis Laws.

Importance: Little is known about changes in cannabis use outcomes by race and ethnicity following the enactment of recreational cannabis laws (RCLs). Objectives: To examine the association between enactment of state RCLs and changes in cannabis outcomes by race and ethnicity overall and by age groups in the US. Design, Setting, and Participants: This cross-sectional study used restricted use file data from the National Surveys of Drug Use and Health between 2008 and 2017, which were analyzed between September 2019 and March 2020. National survey data included the entire US population older than 12 years. Main Outcomes and Measures: Self-reported past-year and past-month cannabis use and, among people that used cannabis, daily past-month cannabis use and past-year Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) cannabis use disorder. Multi-level logistic regressions were fit to estimates changes in cannabis use outcomes by race and ethnicity overall and by age between respondents in states with and without enacted RCLs, controlling for trends in states with medical cannabis laws or no cannabis laws. Results: A total of 838 600 participants were included for analysis (mean age, 43 years [range, 12-105 years]; 434 900 women [weighted percentage, 51.5%]; 511 900 participants (weighted percentage, 64.6%) identified as non-Hispanic White, 99 000 (11.9%) as non-Hispanic Black, 78 400 (15.8%) as Hispanic, and 149 200 (7.6%) as other (including either Native American, Pacific Islander, Asian, or more than 1 race or ethnicity). Compared with the period before RCL enactment, the odds of past-year cannabis use after RCL enactment increased among Hispanic (adjusted odds ratio [aOR], 1.33; 95% CI, 1.15-1.52), other (aOR, 1.31; 95% CI, 1.12-1.52), and non-Hispanic White (aOR, 1.21; 95% CI, 1.12-1.31) populations, particularly among those aged 21 years or more. Similarly, the odds of past-month cannabis use increased among Hispanic (aOR, 1.43; 95% CI, 1.22-1.69), other (aOR, 1.43; 95% CI, 1.20-1.70), and non-Hispanic White (aOR, 1.24; 95% CI, 1.13-1.35) populations after RCL enactment. No increases were found in the odds of past-year or past-month cannabis use post-RCL enactment among non-Hispanic Black individuals or among individuals aged 12 to 20 years for all race and ethnicity groups. In addition, among people who used cannabis, while no increases were found in past-month daily cannabis in any racial or ethnic group, the odds of cannabis use disorder increased post-RCL among individuals categorized as other overall (aOR, 1.45; 95% CI, 1.07-1.95), but no increases were found by age group. Conclusions and Relevance: Changes in cannabis use by race and ethnicity that may be attributable to policy enactment and variations in recreational policy provisions should be monitored. To ensure that the enactment of recreational cannabis laws truly contributes to greater equity in outcomes and adheres to antiracist policies, monitoring unintended and intended consequences that may be attributable to recreational cannabis use and similar policies by race and ethnicity is needed.

Joint perceptions of the risk and availability of Cannabis in the United States, 2002-2018.

BACKGROUND: Prior work suggests that perceived risk and perceived availability of cannabis independently affect cannabis use. However, perceived risk likely modifies the effect of perceived availability, and vice versa. This study explored trends in joint perceived risk and availability of cannabis from 2002 to 2018 and the relationship between combined perceptions and cannabis use, frequent use, and cannabis use disorder (CUD). METHODS: National Surveys on Drug Use and Health data (n = 949,285, ages 12+) were used to create combined categories of perceived risk of weekly cannabis use and perceived cannabis availability. Descriptive analyses compared joint perceived risk/availability trends (pre/post-2015 due to survey redesign) overall and stratified by age, gender, past-year cannabis use, frequent use, and CUD. Regression analysis estimated associations between perceived risk/availability and cannabis outcomes. RESULTS: From 2002 to 2018, the prevalence of perceiving cannabis as low-risk doubled while perceiving cannabis as available remained unchanged. The proportion of individuals perceiving cannabis as Low-risk/Available increased by 86% from 2002 to 2014 (16.8%-31.2%) and 19% from 2015 to 2018 (30.1%-35.8%) while High-risk/Available and High-risk/Unavailable proportions declined. Differing patterns were observed by age and gender. Compared with individuals perceiving cannabis as High-risk/Unavailable, people in all other perception categories had greater risk of all cannabis outcomes. Results were consistent with additive interaction between perceived risk and availability in their effects on cannabis use. CONCLUSIONS: Trends and associations with cannabis outcomes differ when considering perceived risk and availability independently versus jointly. Longitudinal studies and cannabis policy evaluations would advance understanding of links between cannabis perceptions and use.

Spatiotemporal Analysis of the Association Between Pain Management Clinic Laws and Opioid Prescribing and Overdose Deaths.

Pain management clinic (PMC) laws were enacted by 12 states to promote appropriate opioid prescribing, but their impact is inadequately understood. We analyzed county-level opioid overdose deaths (National Vital Statistics System) and patients filling long-duration (≥30 day) or high-dose (≥90 morphine milligram equivalents per day) opioid prescriptions (IQVIA, Inc.) in the United States in 2010-2018. We fitted Besag-York-Mollié spatiotemporal models to estimate annual relative rates (RRs) of overdose and prevalence ratios (PRs) of high-risk prescribing associated with any PMC law and 3 provisions: payment restrictions, site inspections, and criminal penalties. Laws with criminal penalties were significantly associated with reduced PRs of long-duration and high-dose opioid prescriptions (adjusted PR = 0.82, 95% credible interval (CrI): 0.82, 0.82, and adjusted PR = 0.73, 95% CI: 0.73, 0.74 respectively) and reduced RRs of total and natural/semisynthetic opioid overdoses (adjusted RR = 0.86, 95% CrI: 0.80, 0.92, and adjusted RR = 0.84, and 95% CrI: 0.77, 0.92, respectively). Conversely, PMC laws were associated with increased relative rates of synthetic opioid and heroin overdose deaths, especially criminal penalties (adjusted RR = 1.83, 95% CrI: 1.59, 2.11, and adjusted RR = 2.59, 95% CrI: 2.22, 3.02, respectively). Findings suggest that laws with criminal penalties were associated with intended reductions in high-risk opioid prescribing and some opioid overdoses but raise concerns regarding unintended consequences on heroin/synthetic overdoses.

Prescription Opioid Laws and Opioid Dispensing in US Counties: Identifying Salient Law Provisions With Machine Learning.

BACKGROUND: Hundreds of laws aimed at reducing inappropriate prescription opioid dispensing have been implemented in the United States, yet heterogeneity in provisions and their simultaneous implementation have complicated evaluation of impacts. We apply a hypothesis-generating, multistage, machine-learning approach to identify salient law provisions and combinations associated with dispensing rates to test in future research. METHODS: Using 162 prescription opioid law provisions capturing prescription drug monitoring program (PDMP) access, reporting and administration features, pain management clinic provisions, and prescription opioid limits, we used regularization approaches and random forest models to identify laws most predictive of county-level and high-dose dispensing. We stratified analyses by overdose epidemic phases-the prescription opioid phase (2006-2009), heroin phase (2010-2012), and fentanyl phase (2013-2016)-to further explore pattern shifts over time. RESULTS: PDMP patient data access provisions most consistently predicted high-dispensing and high-dose dispensing counties. Pain management clinic-related provisions did not generally predict dispensing measures in the prescription opioid phase but became more discriminant of high dispensing and high-dose dispensing counties over time, especially in the fentanyl period. Predictive performance across models was poor, suggesting prescription opioid laws alone do not strongly predict dispensing. CONCLUSIONS: Our systematic analysis of 162 law provisions identified patient data access and several pain management clinic provisions as predictive of county prescription opioid dispensing patterns. Future research employing other types of study designs is needed to test these provisions' causal relationships with inappropriate dispensing and to examine potential interactions between PDMP access and pain management clinic provisions. See video abstract at, http://links.lww.com/EDE/B861.