Why do some people demand harsher legal punishments than do others after viewing the same video evidence? We predict that inconsistent patterns of punishment decisions can be reconciled by considering the simultaneous effects of social group identification and visual attention. We tested 2 competing predictions--the attention unites and attention divides hypotheses--to understand whether visual attention exaggerates or eliminates differences in legal decision making as a function of social identification with outgroups. We measured social identification with police (Studies 1a, 1b) or manipulated identification with a novel outgroup (Study 2). Participants watched videos depicting physical altercations in which the targets' culpability was ambiguous. We surreptitiously tracked (Studies 1a, 2) or manipulated (Study 1b) visual attention to outgroup targets. Results support the attention divides hypothesis. Among participants who fixated frequently on outgroup targets, prior identification influenced punishment decisions. This relationship did not emerge among participants who fixated infrequently on the target. Subjective interpretations of and accurate recall for targets' actions mediated the relationship between identification and attention on punishment. We discuss implications for bias in legal decision making and policy.

Background: Limited research has examined pre-exposure prophylaxis (PrEP) interest among people who inject drugs (PWID). To date, few studies have examined the relationship between PrEP eligibility and PrEP interest among PWID. Methods: Data were from an anonymous, cross-sectional survey of Baltimore Syringe Services Program (SSP) clients and non-client peers, restricted to HIV-uninfected participants (N=265). Participants were classified as PrEP eligible/ineligible based on injection related criteria outlined in the CDC’s PrEP guidelines. Participants were asked if they were previously aware of PrEP, would be interested in taking PrEP, and the ease of taking PrEP daily. Participants self-reported their sociodemographic characteristics, health diagnoses, and recent drug use, overdose, and drug treatment history. We estimated bivariate and multivariate logistic regression models to test for significant predictors of interest in PrEP. Results: One-quarter of PWID had previously heard of PrEP and 63% of the sample was interested in taking PrEP. Only two respondents were currently taking PrEP. The majority (89%) thought taking PrEP every day would be easy. In the presence of other variables, PrEP interest was associated with PrEP eligibility (adjusted odds ratio [aOR]=2.46; 95% Confidence Interval [CI]:1.34,4.50) and the number of medical diagnoses (aOR=1.16; 95% CI:1.01,1.33) Conclusions: Most PWID were unaware of PrEP but interested in taking it. PWID who were eligible for PrEP are more likely to be interested in taking it. Having co-morbid conditions was an important correlate of PrEP interest. These results underscore the importance of providers across the healthcare sector engaging PWID in discussions about PrEP.

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Study 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: 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.

Background As restrictions on marijuana are loosened, there is concern of a coming increase in marijuana use among adolescents and emerging adults, which could be coupled with commensurate increases in behavioral problems associated with use, such as physical dating violence (PDV). To summarize what is known about the association between marijuana use and PDV victimization and perpetration among 11–21 year olds, we conducted a systematic review and meta-analysis of the relevant literature published between 2003 and 2015. Methods Candidate articles were identified with a systematic search, and we used inclusion and exclusion criteria to review titles, abstracts, and the full text of studies for consideration. There were 13 articles examining marijuana in association with PDV; five addressed victimization and 11 addressed perpetration. Results Findings suggest that marijuana use is associated with a 54% increase in the odds PDV victimization, and a 45% increase in the odds of perpetration. Conclusions Findings: suggest that dating violence is a correlate of marijuana use, and that association is strongest among adolescents (vs. emerging adults) and girls (vs. boys). Therefore, it should be routinely included as a core data item in marijuana surveillance systems, so as to allow for behavioral monitoring.