Faculty Bibliography

Importance/UNASSIGNED:An important consequence of cannabis legalization is the potential increase in the number of cannabis-impaired drivers on roads, which may result in higher rates of traffic-related injuries and fatalities. To date, limited information about the effects of recreational cannabis laws (RCLs) on traffic fatalities is available. Objective/UNASSIGNED:To estimate the extent to which the implementation of RCLs is associated with traffic fatalities in Colorado and Washington State. Design, Setting, and Participants/UNASSIGNED:This ecological study used a synthetic control approach to examine the association between RCLs and changes in traffic fatalities in Colorado and Washington State in the post-RCL period (2014-2017). Traffic fatalities data were obtained from the Fatality Analysis Reporting System from January 1, 2005, to December 31, 2017. Data from Colorado and Washington State were compared with synthetic controls. Data were analyzed from January 1, 2005, to December 31, 2017. Main Outcome(s) and Measures/UNASSIGNED:The primary outcome was the rate of traffic fatalities. Sensitivity analyses were performed (1) excluding neighboring states, (2) excluding states without medical cannabis laws (MCLs), and (3) using the enactment date of RCLs to define pre-RCL and post-RCL periods instead of the effective date. Results/UNASSIGNED:Implementation of RCLs was associated with increases in traffic fatalities in Colorado but not in Washington State. The difference between Colorado and its synthetic control in the post-RCL period was 1.46 deaths per 1 billion vehicle miles traveled (VMT) per year (an estimated equivalent of 75 excess fatalities per year; probability = 0.047). The difference between Washington State and its synthetic control was 0.08 deaths per 1 billion VMT per year (probability = 0.674). Results were robust in most sensitivity analyses. The difference between Colorado and synthetic Colorado was 1.84 fatalities per 1 billion VMT per year (94 excess deaths per year; probability = 0.055) after excluding neighboring states and 2.16 fatalities per 1 billion VMT per year (111 excess deaths per year; probability = 0.063) after excluding states without MCLs. The effect was smaller when using the enactment date (24 excess deaths per year; probability = 0.116). Conclusions and Relevance/UNASSIGNED:This study found evidence of an increase in traffic fatalities after the implementation of RCLs in Colorado but not in Washington State. Differences in how RCLs were implemented (eg, density of recreational cannabis stores), out-of-state cannabis tourism, and local factors may explain the different results. These findings highlight the importance of RCLs as a factor that may increase traffic fatalities and call for the identification of policies and enforcement strategies that can help prevent unintended consequences of cannabis legalization.

Research Objective: The opioid epidemic in the United States remains a growing public health problem. Understanding opioid prescribing for children, adolescents, and young adults is essential for developing targeted interventions and policies at both national and local levels for this population. In this study, we investigate temporal trends in opioid-prescribing practices in children, adolescents, and young adults in the United States from 2006 to 2018.
Study Design: Cross-sectional analysis of opioid prescriptions from retail pharmacies. Primary outcomes included total number of opioid prescriptions, duration of prescription (overall mean, <=3 days, and >=30 days), amount prescribed in mean morphine milligram equivalents (MME) dispensed per day, and high-dose prescriptions (prescriptions for doses >90 MME/day for those >14 years). Yearly values were reported overall and stratified by age for 2006, 2012, and 2018, with relative percentage change between point estimates for 2006 and 2018. Population Studied: Opioid prescription data from January 1, 2006, to December 31, 2018, for children, adolescents, and young adults <25 years were extracted from the IQVIA XPonent database which accounts for 90% of retail outpatient prescriptions in the United States. Principal Findings: The opioid prescription rate (per 100 persons) decreased by 58.9% overall from 2006 to 2018, declining from a rate of 4.6-1.4 for children 0-5 years, 4.3-1.4 for those 6-9 years, 6.6-2.7 for those 10-14 years, 20.4-10.8 for adolescents 15-19 years, and 35.1-15.3 for young adults 20-24 years. The total MME/day was 36.5 in 2006, 34.4 in 2012, and 31.2 in 2018 (decrease of 14.7% by 2018), with decreased amounts prescribed in all ages, except those <=5 years. The total mean opioid prescription duration remained relatively stable, with duration of 6 days in 2006, 6.8 days in 2012, and 6.2 days in 2018. The number of prescriptions with duration <=3 days was unchanged, but the number of prescriptions with duration >=30 days increased by 31.8%, with the largest increases in children <15 years. High-dose prescriptions for the 15-24 years cohort decreased by >50% between 2006 and 2018.
Conclusion(s): Since 2006, total opioid prescriptions have decreased for children, adolescents, and young adults, and there has been a reduction in the prescription amount and in high-dose opioid prescriptions for adolescents and young adults. However, despite current opioid-prescribing guidelines, as well as policies that limit days' supply, opioids continue to be frequently dispensed and opioid prescriptions with duration >=30 days have increased. Implications for Policy or Practice: Continued policy efforts and the development of clinical practice guidelines for youths are necessary to ensure safe and judicious opioid prescribing for children, adolescents, and young adults. Further study, including investigating geographic patterns and patient-and prescriber-level characteristics, will help inform targeted interventions for appropriate prescribing practices in this population

BACKGROUND:Since 1999, the rate of fatal prescription opioid overdoses and of suicides has dramatically increased in the USA. These increases, which have occurred among similar demographic groups, have led to the hypothesis that the opioid epidemic contributed to increases in suicidal behavior, though the underlying association remains poorly defined. We examine the association between nonmedical use of prescription opioids/opioid use disorder and suicidal ideation/attempts. METHODS:We used longitudinal data from a national representative sample of the US adult population, the National Epidemiologic Survey on Alcohol and Related Conditions. Participants (n = 34 653) were interviewed in 2001-2002 (wave 1) and re-interviewed approximately 3 years later (wave 2). A propensity score analysis estimated the association between exposure to prescription opioids at wave 1 and prevalent/incident suicidal behavior at wave 2. RESULTS:Heavy/frequent (⩾2-3 times a month) prescription opioid use was associated with prevalent suicide attempts [adjusted risk ratio (ARR) = 2.75, 95% CI 1.35-5.60]. Prescription opioid use disorder was associated with prevalent (ARR = 1.98, 95% CI 1.20-3.28) and incident suicidal ideation (ARR = 2.59, 95% CI 1.25-5.37), and prevalent attempts (ARR = 4.19, 95% CI 1.71-10.27). None of the exposures was associated with incident suicide attempts. CONCLUSIONS:Heavy/frequent opioid use and related disorder were associated with prevalent suicide attempts; opioid use disorder was also associated with the incident and prevalent suicidal ideation. Given population increases in nonmedical use of prescription opioids and disorder, the opioid crisis may have contributed to population increases in suicidal ideation.

BACKGROUND:Overdose deaths increased exponentially in the United States to be the leading cause of adult injury deaths, and declining economic opportunity may contribute. To our knowledge, there has been no quantitative research into the impact of relative economic measures on overdose risk. Prior longitudinal studies on impact of socioeconomic conditions used fixed effects approaches that can result in biased estimates in the presence of time-varying confounders. METHODS:We estimated county-level longitudinal associations between drug overdose deaths and unemployment and labor-force nonparticipation rates by gender and racial/ethnic subgroup using longitudinal g-computation and the clustered bootstrap. RESULTS:We find evidence for associations between both overall and relative aspects of unemployment and labor-force nonparticipation and drug overdose mortality; patterns of associations differed, sometime qualitatively, across subgroups. For males across racial-ethnic groups, greater overall and relative unemployment rates were generally associated with greater overdose mortality in both the short and long terms [e.g., for white males, increasing the overall percentage of unemployed adults by 5% points in 2000, 2009, and 2015 is associated with an increase of 3.2 overdose deaths (95% confidence interval [CI] = -2.8, 14) in 2015, and increasing the ratio by 0.5 in 2000, 2009, and 2015 is associated with an increase of 9.1 overdose deaths (95% CI = 1.6, 24)]. CONCLUSIONS:These findings point to important complexity in how the economic and contextual landscape differentially shapes overdose risks, underscoring a need for increased understanding of the mechanisms operating for women and minority groups.

OBJECTIVE:Beliefs about marijuana use and prevalence of use may be associated with the legalization status of the state of residence. We examined differences in views and rates of use of marijuana among residents in recreationally legal, medically legal, and nonlegal states. METHODS:We surveyed a nationally representative online panel of US adults (N = 16,280) and stratified results by marijuana legalization status of states. We compared views of residents of recreational states on benefits and risks of marijuana use to residents in other states. RESULTS:The response rate was 56.3% (n = 9003). Residents in recreationally legal states were more likely to believe marijuana could be beneficial for pain management (73% in recreationally legal states, 67% in medically legal states, 63% in nonlegal states; P value: <0.0001), provide relief from stress, anxiety or depression (52% in recreationally legal states, 47% in medically legal states, 46% in nonlegal states; P value: 0.01), and improve appetite (39% in recreationally legal states, 36% in medically legal states, 33% in nonlegal states; P value: <0.009). In addition, residents in recreational states were significantly more likely to believe that smoking 1 marijuana joint a day is somewhat or much safer than smoking 1 cigarette a day (40.8% in recreationally legal states, 39.1% in medically legal states, and 36.1% in nonlegal states; P value: <0.0001). Residents of recreationally and medically legal states were more likely to believe second-hand marijuana smoke was somewhat or much safer than second-hand tobacco smoke (38.3% in recreationally legal states, 38.3% in medically legal states, and 35.7% in nonlegal states; P value: 0.003). Past-year marijuana use in any form (20% in recreational, 14.1% in medical, 12% in nonlegal) and past-year marijuana use of multiple forms (11.1% in recreational, 6.1% in medical, 4.9% in nonlegal) were highest among residents of recreationally legal states. Overall, prevalence of past-year use of any form of marijuana use was more common among residents of recreationally legal states compared with other states (20.3%, confidence interval [CI] 19.5, 21.1 in recreationally legal states; 15.4%, CI 14.7, 16.2 in medically legal states; 11.9%, CI 11.2, 12.6 in nonlegal states). CONCLUSIONS:Residents in recreationally legal states were most likely to believe marijuana has benefits, marijuana smoke is safer than tobacco smoke, and have the highest rate of marijuana use. This is cause for concern, given the tide of commercialization, growing number of high-potency cannabis products, and favorable media coverage promoting use for health problems.

BACKGROUND:In 2013, Uruguay became the first country in the world to legalize recreational cannabis, instituting a non-commercial state regulatory model of production and supply. This study provides the first empirical evidence on its impacts on adolescent use of cannabis and related risks. METHODS:We use a generalization of the synthetic control method (SCM) to estimate the impact of legalization in Uruguay on adolescent past year and month cannabis use, perceived availability of cannabis and perceived risk of cannabis use. We compare biennial high school student self-reported survey data from Montevideo and regions in the interior of Uruguay post-legalization (2014-2018) and post initial implementation (2015-2018) to a synthetic counterfactual constructed using a weighted combination of 15 control regions in Chile. RESULTS:We find no evidence of an impact on cannabis use or the perceived risk of use. We find an increase in student perception of cannabis availability (58% observed vs. 51% synthetic control) following legalization. CONCLUSION/CONCLUSIONS:Our findings provide some support for the thesis that Uruguay's state regulatory approach to cannabis supply may minimize the impact of legalization on adolescent cannabis use. At the same time, our study period represents a period of transition: pharmacy access, by far the most popular means of access, was not available until the summer of 2017. Additional study will be important to assess the longer-term impacts of the fully implemented legalization regime on substance use outcomes.

BACKGROUND:Unintentional injury, a leading cause of morbidity among adolescents, may also be a risk factor for deliberate self-harm. To inform clinical and public health prevention efforts in adolescent populations, we examined whether distinct subtypes of unintentional injury were differentially associated with deliberate self-harm. METHODS:Statewide, all-payer, individually linkable administrative data on adolescent patients presenting to any California emergency department (ED) in 2010 (n = 490,071) were used to investigate longitudinal associations between subtypes of unintentional injury and deliberate self-harm. Adolescents aged 10-19 years presenting with unintentional drug poisoning, other poisoning, fall, suffocation, or cutting/piercing injuries formed the exposure groups; adolescents presenting with unintentional strike injuries formed the primary referent group. Study patients were followed back in time (2006-2009) to compare the groups' odds of a prior ED visit for deliberate self-harm, as well as forwards in time (2010-2015) to compare their risks of subsequent self-harm. RESULTS:Unintentional drug-poisoning injury was strongly associated with increased likelihood of ED visits for deliberate self-harm, assessed both retrospectively (adjusted OR = 4.52; 95% confidence interval [CI] = 3.08, 6.64) and prospectively (adjusted RR = 3.74; 95% CI = 3.03, 4.60). Positive associations with odds of prior self-harm and/or risk of subsequent self-harm were also observed for patients with unintentional non-drug poisoning, suffocation, and cutting/piercing injuries. CONCLUSIONS:Certain subtypes of unintentional injury, particularly drug poisoning, are strongly associated with risk for deliberate self-harm among adolescents, a finding with implications for targeting clinical assessment and intervention in emergency department settings. More research is needed to understand the mechanisms underlying these associations.