Faculty Bibliography

Importance/UNASSIGNED:Little is known about changes in marijuana use and cannabis use disorder (CUD) after recreational marijuana legalization (RML). Objectives/UNASSIGNED:To examine the associations between RML enactment and changes in marijuana use, frequent use, and CUD in the United States from 2008 to 2016. Design, Setting, and Participants/UNASSIGNED:This survey study used repeated cross-sectional survey data from the National Survey on Drug Use and Health (2008-2016) conducted in the United States among participants in the age groups of 12 to 17, 18 to 25, and 26 years or older. Interventions/UNASSIGNED:Multilevel logistic regression models were fit to obtain estimates of before-vs-after changes in marijuana use among respondents in states enacting RML compared to changes in other states. Main Outcomes and Measures/UNASSIGNED:Self-reported past-month marijuana use, past-month frequent marijuana use, past-month frequent use among past-month users, past-year CUD, and past-year CUD among past-year users. Results/UNASSIGNED:The study included 505 796 respondents consisting of 51.51% females and 77.24% participants 26 years or older. Among the total, 65.43% were white, 11.90% black, 15.36% Hispanic, and 7.31% of other race/ethnicity. Among respondents aged 12 to 17 years, past-year CUD increased from 2.18% to 2.72% after RML enactment, a 25% higher increase than that for the same age group in states that did not enact RML (odds ratio [OR], 1.25; 95% CI, 1.01-1.55). Among past-year marijuana users in this age group, CUD increased from 22.80% to 27.20% (OR, 1.27; 95% CI, 1.01-1.59). Unmeasured confounders would need to be more prevalent in RML states and increase the risk of cannabis use by 1.08 to 1.11 times to explain observed results, indicating results that are sensitive to omitted variables. No associations were found among the respondents aged 18 to 25 years. Among respondents 26 years or older, past-month marijuana use after RML enactment increased from 5.65% to 7.10% (OR, 1.28; 95% CI, 1.16-1.40), past-month frequent use from 2.13% to 2.62% (OR, 1.24; 95% CI, 1.08-1.41), and past-year CUD from 0.90% to 1.23% (OR, 1.36; 95% CI, 1.08-1.71); these results were more robust to unmeasured confounding. Among marijuana users in this age group, past-month frequent marijuana use and past-year CUD did not increase after RML enactment. Conclusions and Relevance/UNASSIGNED:This study's findings suggest that although marijuana legalization advanced social justice goals, the small post-RML increase in risk for CUD among respondents aged 12 to 17 years and increased frequent use and CUD among adults 26 years or older in this study are a potential public health concern. To undertake prevention efforts, further studies are warranted to assess how these increases occur and to identify subpopulations that may be especially vulnerable.

BACKGROUND:Prescription drug monitoring programs (PDMPs) that collect and distribute information on dispensed controlled substances have been adopted by nearly all US states. We know little about program characteristics that modify PDMP impact on prescription opioid overdose deaths. METHODS:We measured associations between adoption of any PDMP and changes in fatal prescription opioid overdoses in 2002-2016 across 3,109 counties in 49 states. We then measured changes related to the adoption of "proactive PDMPs", which report outlying prescribing/dispensing patterns and provide broader access to PDMP data by law enforcement. Comparisons were made within three time intervals that broadly represent the evolution of PDMPs (2002-2004, 2005-2009, 2010-2016). We modeled overdoses using Bayesian space-time models. RESULTS:Adoption of electronic PDMP access was associated with 9% lower rates of fatal prescription opioid overdoses after three years (rate ratio [RR]=0.91, 95% credible interval [CI]: 0.88-0.93) with well-supported effects for methadone (RR=0.86, CI: 0.82-0.90) and other synthetic opioids (RR=0.82, CI: 0.77-0.86). Compared to states with no/weak PDMPs, proactive PDMPs were associated with fewer deaths attributed to natural/semi-synthetic opioids (2002-2004: RR=0.72 (0.66-0.78); 2005-2009: RR=0.93 (0.90-0.97); 2010-2016: 0.89 (0.86-0.92)) and methadone (2002-2004: RR=0.77 (0.69-0.85); 2010-2016: RR=0.90 (0.86-0.94)). Unintended effects were observed for synthetic opioids other than methadone (2005-2009: RR=1.29 (1.21-1.38); 2010-2016: RR=1.22 (1.16-1.29)). CONCLUSIONS:State adoption of PDMPs was associated with fewer prescription opioid deaths overall while proactive PDMPs alone were associated with fewer deaths related to natural/semi-synthetic opioids and methadone, the specific targets of these programs.

Importance/UNASSIGNED:Alcohol use is a risk factor for firearm-related violence, and firearm owners are more likely than others to report risky drinking behaviors. Objective/UNASSIGNED:To study the association between prior convictions for driving under the influence (DUI) and risk of subsequent arrest for violent crimes among handgun purchasers. Design/UNASSIGNED:In this retrospective, longitudinal cohort study, 79 678 individuals were followed up from their first handgun purchase in 2001 through 2013. The study cohort included all legally authorized handgun purchasers in California aged 21 to 49 years at the time of purchase in 2001. Individuals were identified using the California Department of Justice (CA DOJ) Dealer's Record of Sale (DROS) database, which retains information on all legal handgun transfers in the state. Exposures/UNASSIGNED:The primary exposure was DUI conviction prior to the first handgun purchase in 2001, as recorded in the CA DOJ Criminal History Information System. Main Outcomes and Measures/UNASSIGNED:Prespecified outcomes included arrests for violent crimes listed in the Crime Index published by the Federal Bureau of Investigation (murder, rape, robbery, and aggravated assault), firearm-related violent crimes, and any violent crimes. Results/UNASSIGNED:Of the study population (N=79 678), 91.0% were males and 68.9% were white individuals; the median age was 34 (range, 21-49) years. The analytic sample for multivariable models included 78 878 purchasers after exclusions. Compared with purchasers who had no prior criminal history, those with prior DUI convictions and no other criminal history were at increased risk of arrest for a Crime Index-listed violent crime (adjusted hazard ratio [AHR], 2.6; 95% CI, 1.7-4.1), a firearm-related violent crime (AHR, 2.8; 95% CI, 1.3-6.4), and any violent crime (AHR, 3.3; 95% CI, 2.4-4.5). Among purchasers with a history of arrests or convictions for crimes other than DUI, associations specifically with DUI conviction remained. Conclusions and Relevance/UNASSIGNED:This study's findings suggest that prior DUI convictions may be associated with the risk of subsequent violence, including firearm-related violence, among legal purchasers of handguns. Although the magnitude was diminished, the risk associated with DUI conviction remained elevated even among those with a history of arrests or convictions for crimes of other types.

STUDY OBJECTIVE/OBJECTIVE:Persons with substance use disorders frequently utilize emergency department (ED) services, creating an opportunity for intervention and referral to addiction treatment and harm-reduction services. However, EDs may not have the appropriate tools to distinguish which patients are at greatest risk for negative outcomes. We link hospital ED and medical examiner mortality databases in one state to identify individual-level risk factors associated with overdose death among ED patients with substance-related encounters. METHODS:This retrospective cohort study linked Maryland statewide ED hospital claims records for adults with nonfatal overdose or substance use disorder encounters in 2014 to 2015 with medical examiner mortality records in 2015 to 2016. Logistic regression was used to identify factors in hospital records associated with risk of opioid overdose death. Predicted probabilities for overdose death were calculated for hypothetical patients with different combinations of overdose and substance use diagnostic histories. RESULTS:A total of 139,252 patients had substance-related ED encounters in 2014 to 2015. Of these patients, 963 later experienced an opioid overdose death, indicating a case fatality rate of 69.2 per 10,000 patients, 6 times higher than that of patients who used the ED for any cause. Factors most strongly associated with death included having both an opioid and another substance use disorder (adjusted odds ratio 2.88; 95% confidence interval 2.04 to 4.07), having greater than or equal to 3 previous nonfatal overdoses (adjusted odds ratio 2.89; 95% confidence interval 1.54 to 5.43), and having a previous nonfatal overdose involving heroin (adjusted odds ratio 2.24; 95% confidence interval 1.64 to 3.05). CONCLUSION/CONCLUSIONS:These results highlight important differences in overdose risk among patients receiving care in EDs for substance-related conditions. The findings demonstrate the potential utility of incorporating routine data from patient records to assess risk of future negative outcomes and identify primary targets for initiation and linkage to lifesaving care.

Large-scale structural interventions and "Big Events" like revolutions, wars and major disasters can affect HIV transmission by changing the sizes of at-risk populations, making high-risk behaviors more or less likely, or changing contexts in which risk occurs. This paper describes new measures to investigate hypothesized pathways that could connect macro-social changes to subsequent HIV transmission. We developed a "menu" of novel scales and indexes on topics including norms about sex and drug injecting under different conditions, experiencing denial of dignity, agreement with cultural themes about what actions are needed for survival or resistance, solidarity and other issues. We interviewed 298 at-risk heterosexuals and 256 men who have sex with men in New York City about these measures and possible validators for them. Most measures showed evidence of criterion validity (absolute magnitude of Pearson's r ≥ 0.20) and reliability (Cronbach's alpha ≥ 0.70). These measures can be (cautiously) used to understand how macro-changes affect HIV and other risk. Many can also be used to understand risk contexts and dynamics in more normal situations. Additional efforts to improve and to replicate the validation of these measures should be conducted.

BACKGROUND:Syringe services programs (SSPs) are effective venues for delivering harm-reduction services to people who inject drugs (PWID). However, SSPs often face significant barriers to implementation, particularly in the absence of known human immunodeficiency virus (HIV) outbreaks. METHODS:Using an agent-based model, we simulated HIV transmission in Scott County, Indiana, a rural county with a 1.7% prevalence of injection drug use. We compared outcomes arising in the absence of an SSP, in the presence of a pre-existing SSP, and with implementation of an SSP after the detection of an HIV outbreak among PWID over 5 years following the introduction of a single infection into the network. RESULTS:In the absence of an SSP, the model predicted an average of 176 infections among PWID over 5 years or an incidence rate of 12.1/100 person-years. Proactive implementation averted 154 infections and decreased incidence by 90.3%. With reactive implementation beginning operations 10 months after the first infection, an SSP would prevent 107 infections and decrease incidence by 60.8%. Reductions in incidence were also observed among people who did not inject drugs. CONCLUSIONS:Based on model predictions, proactive implementation of an SSP in Scott County had the potential to avert more HIV infections than reactive implementation after the detection of an outbreak. The predicted impact of reactive SSP implementation was highly dependent on timely implementation after detecting the earliest infections. Consequently, there is a need for expanded proactive SSP implementation in the context of enhanced monitoring of outbreak vulnerability in Scott County and similar rural contexts.

OBJECTIVES/OBJECTIVE:Discrimination, such as being treated unfairly due to race, contributes to stress. Individuals may cope with this by engaging in risky behaviors. Consistent with this premise, prior studies found that discrimination is associated with substance use. Research has also shown that sex while 'high' on alcohol and drugs is associated with increased risk for HIV and other STIs. The present study examines the relationship between discrimination and sexual risk. We investigate whether discrimination is associated with sex while high on alcohol and drugs. DESIGN/METHODS:Analyses focus on a sample of 356 Caribbean Diasporic young adults, primarily Caribbean Latinx, aged 18 to 25 who participated in the Drug Use and HIV Risk among Youth Survey carried out from 1997 to 2000 in Brooklyn, New York. Logistic regression examined the association between self-reported discrimination and sex while high. RESULTS:More than half (52.3%) of respondents reported moderate discrimination. Sex while high was also reported: 35.7% for alcohol, 43.3% for marijuana, and 32.6% for heroin/cocaine. Discrimination was associated with increased risk of sex while high on (1) marijuana and (2) heroin/cocaine, but was not with alcohol. CONCLUSIONS:Discrimination may be a risk factor for engaging in sex while high on drugs, which may put individuals at risk for HIV as well as other STIs. Future research should explore relationships between discrimination and sex while high on alcohol and drugs among various racial/ethnic groups and Diasporas, while also assessing how this relationship may contribute to HIV incidence.

BACKGROUND:Violent injuries are a leading cause of morbidity and mortality among youths. Little is known about adolescents' patterns of and risk factors for repeat assault injuries, yet understanding who is at risk for repeated assaults is important for intervention and prevention efforts. Investigating these questions in population-based adolescent samples is particularly critical. OBJECTIVE:Our aim was to estimate the 5-year cumulative incidence of and risk factors for repeat emergency department (ED) visits for assault injury among adolescents experiencing an index assault visit, and compare the method of injury for adolescents' first and second visits. METHODS:Statewide, longitudinal data from California were used to follow 17,845 adolescents who reported to an ED with assault-related injuries in 2010. Incidence rate ratios were estimated to examine risk factors for repeat assault injury within 1 year and 5 years following the index visit. RESULTS:A total of 3273 (18.3%) assaulted adolescents experienced one or more additional assault injury ED visits during the full follow-up period. Only 37.3% of these repeat assaults occurred within the first year following the index assault. Of adolescents with a repeat assault injury, the method of injury often changed and followed no clear pattern. Sociodemographic characteristics (e.g., older age, black race) and history of prior ED visits for assault and mental health problems predicted increased risk of repeat assault. CONCLUSIONS:Previous work may underestimate the rate of repeated assault among adolescents. Adolescents with a history of violence involvement and mental health problems are at elevated risk for repeated assault, and should be targeted for intervention.

A growing body of evidence suggests that network-based interventions to reduce HIV transmission and/or improve HIV-related health outcomes have an important place in public health efforts to move towards 90-90-90 goals. However, the social processes involved in network-based recruitment may pose a risk to participants of increasing HIV-related stigma if network recruitment causes HIV status to be assumed, inferred, or disclosed. On the other hand, the social processes involved in network-based recruitment to HIV testing may also encourage HIV-related social support. Yet despite the relevance of these processes to both network-based interventions and to other more common interventions (e.g., partner services), there is a dearth of literature that directly examines them among participants of such interventions. Furthermore, both HIV-related stigma and social support may influence participants' willingness and ability to recruit their network members to the study. This paper examines (1) the extent to which stigma and support were experienced by participants in the Transmission Reduction Intervention Project (TRIP), a risk network-tracing intervention aimed at locating recently HIV-infected and/or undiagnosed HIV-infected people and linking them to care in Athens, Greece; Odessa, Ukraine; and Chicago, Illinois; and (2) whether stigma and support predicted participant engagement in the intervention. Overall, experiences of stigma were infrequent and experiences of support frequent, with significant variation between study sites. Experiences and perceptions of HIV-related stigma did not change significantly between baseline and six-month follow-up for the full TRIP sample, and significantly decreased during the course of the study at the Chicago site. Experiences of HIV-related support significantly increased among recently-HIV-infected participants at all sites, and among all participants at the Odessa site. Both stigma and support were found to predict participants' recruitment of network members to the study at the Athens site, and to predict participants' interviewer-rated enthusiasm for naming and recruiting their network members at both the Athens and Odessa sites. These findings suggest that network-based interventions like TRIP which aim to reduce HIV transmission likely do not increase stigma-related risks to participants, and may even encourage increased social support among network members. However, the present study is limited by its associational design and by some variation in implementation by study site. Future research should directly assess contextual differences to improve understanding of the implications of site-level variation in stigma and support for the implementation of network-based interventions, given the finding that these constructs predict participants' recruitment of network members and engagement in the intervention, and thereby could limit network-based interventions' abilities to reach those most in need of HIV testing and care.