Income inequality, drug-related arrests, and the health of people who inject drugs: Reflections on seventeen years of research

Structural Discrimination against and Structural Support for Lesbian, Gay, and Bisexual People as a Predictor of Late HIV Diagnoses among Black Men who Have Sex with Men

Black men who have sex with men (MSM) have been consistently reported to have the highest estimated HIV incidence and prevalence among MSM. Despite broad theoretical understanding that discrimination is a major social and structural determinant that contributes to disparate HIV outcomes among Black MSM, relatively little extant research has empirically examined structural discrimination against sexual minorities as a predictor of HIV outcomes among this population. The present study therefore examines whether variation in policies that explicitly discriminate against lesbian, gay, and bisexual (LGB) people and variation in policies that explicitly protect LGB people differentially predict metropolitan statistical-area-level variation in late HIV diagnoses among Black MSM over time, from 2008 to 2014. HIV surveillance data on late HIV diagnoses among Black MSM in each of the 95 largest metropolitan statistical areas in the United States, from 2008 to 2014, were used along with data on time-varying state-level policies pertaining to the rights of LGB people. Results from multilevel models found a negative relationship between protective/supportive laws and late HIV diagnoses among Black MSM, and a positive relationship between discriminative laws and late HIV diagnoses among Black MSM. These findings illuminate the potential epidemiological importance of policies pertaining to LGB populations as structural determinants of HIV outcomes among Black MSM. They suggest a need for scrutiny and elimination of discriminatory policies, where such policies are currently in place, and for advocacy for policies that explicitly protect the rights of LGB people where they do not currently exist.

Social-spatial network structures among young urban and suburban persons who inject drugs in a large metropolitan area

BACKGROUND

Recent studies underscore the significance of adopting a syndemics approach to study opioid misuse, overdose, hepatitis C (HCV) and HIV infections, within the broader context of social and environmental contexts in already marginalized communities. Social interactions and spatial contexts are crucial structural factors that remain relatively underexplored. This study examines the intersections of social interactions and spatial contexts around injection drug use. More specifically, we investigate the experiences of different residential groups among young (aged 18-30) people who inject drugs (PWID) regarding their social interactions, travel behaviors, and locations connected to their risk behaviors. By doing so, we aim to achieve a more comprehensive understanding of the multidimensional risk environment, thereby facilitating the development of informed policies.

METHODS

We collected and examined data regarding young PWID's egocentric injection network and geographic activity spaces (i.e., where they reside, inject drugs, purchase drugs, and meet sex partners). Participants were stratified based on the location of all place(s) of residence in the past year i.e., urban, suburban, and transient (both urban and suburban) to i) elucidate geospatial concentration of risk activities within multidimensional risk environments based on kernel density estimates; and ii) examine spatialized social networks for each residential group.

RESULTS

Participants were mostly non-Hispanic white (59%); 42% were urban residents, 28% suburban, and 30% transient. We identified a spatial area with concentrated risky activities for each residential group on the West side of Chicago in Illinois where a large outdoor drug market area is located. The urban group (80%) reported a smaller concentrated area (14 census tracts) compared to the transient (93%) and suburban (91%) with 30 and 51 tracts, respectively. Compared to other areas in Chicago, the identified area had significantly higher neighborhood disadvantages. Significant differences were observed in social network structures and travel behaviors: suburban participants had the most homogenous network in terms of age and residence, transient participants had the largest network (degree) and more non-redundant connections, while the urban group had the shortest travel distance for all types of risk activities.

CONCLUSION

Distinct residential groups exhibit varying patterns of network interaction, travel behaviors, and geographical contexts related to their risk behaviors. Nonetheless, these groups share common concentrated risk activity spaces in a large outdoor urban drug market area, underscoring the significance of accounting for risk spaces and social networks in addressing syndemics within PWID populations.

Creation and Validation of a New Socio-built Environment Index Measure of Opioid Overdose Risk for Use in Both Non-urban and Urban Settings

A great deal of literature has examined features of the physical built environment as predictors of opioid overdose and other substance use-related outcomes. Other literature suggests that social characteristics of settings are important predictors of substance use outcomes. However, there is a dearth of literature simultaneously measuring both physical and social characteristics of settings in an effort to better predict opioid overdose. There is also a dearth of literature examining built environment as a predictor of overdose in non-urban settings. The present study presents a novel socio-built environment index measure of opioid overdose risk comprised of indicators measuring both social and physical characteristics of settings - and developed for use in both urban and non-urban settings - and assesses its validity among 565 urban, suburban, and rural New Jersey municipalities. We found that this novel measure had good convergent validity, based on significant positive associations with a social vulnerability index and crime rates, and significant negative associations with a municipal revitalization index and high school graduation rates. The index measure had good discriminant validity, based on lack of association with three different racial isolation indices. Finally, our index measure had good health outcome-based criterion validity, based on significant positive associations with recent overdose mortality. There were no major differences between rural, suburban, and urban municipalities in validity analysis findings. This promising new socio-built environment risk index measure could improve ability to target and allocate resources to settings with the greatest risk, in order to improve their impact on overdose outcomes.

Will the Russian war in Ukraine unleash larger epidemics of HIV, TB and associated conditions and diseases in Ukraine?

The Russian war in Ukraine poses many risks for the spread of HIV, TB and associated conditions, including possible increases in the numbers of people who inject drugs or engage in sex work in the years ahead. Ukrainian civil society and volunteer efforts have been able to maintain and at times expand services for HIV Key Populations. The extent of mutual-aid and volunteer efforts as well as the continued strength and vitality of harm reduction organizations such as the Alliance for Public Health and the rest of civil society will be crucial resources for postwar efforts to assist Key Populations and prevent the spread of HIV, TB and other diseases. The postwar period will pose great economic and political difficulties for Ukrainians, including large populations of people physically and/or psychically damaged and in pain who might become people who inject drugs. Local and international support for public health and for harm reduction will be needed to prevent potentially large-scale increases in infectious disease and related mortality.

Leading consumption patterns of psychoactive substances in Colombia: A deep neural network-based clustering-oriented embedding approach

The number of health-related incidents caused using illegal and legal psychoactive substances (PAS) has dramatically increased over two decades worldwide. In Colombia, the use of illicit substances has increased up to 10.3%, while the consumption alcohol and tobacco has increased to 84% and 12%, respectively. It is well-known that identifying drug consumption patterns in the general population is essential in reducing overall drug consumption. However, existing approaches do not incorporate Machine Learning and/or Deep Data Mining methods in combination with spatial techniques. To enhance our understanding of mental health issues related to PAS and assist in the development of national policies, here we present a novel Deep Neural Network-based Clustering-oriented Embedding Algorithm that incorporates an autoencoder and spatial techniques. The primary goal of our model is to identify general and spatial patterns of drug consumption and abuse, while also extracting relevant features from the input data and identifying clusters during the learning process. As a test case, we used the largest publicly available database of legal and illegal PAS consumption comprising 49,600 Colombian households. We estimated and geographically represented the prevalence of consumption and/or abuse of both PAS and non-PAS, while achieving statistically significant goodness-of-fit values. Our results indicate that region, sex, housing type, socioeconomic status, age, and variables related to household finances contribute to explaining the patterns of consumption and/or abuse of PAS. Additionally, we identified three distinct patterns of PAS consumption and/or abuse. At the spatial level, these patterns indicate concentrations of drug consumption in specific regions of the country, which are closely related to specific geographic locations and the prevailing social and environmental contexts. These findings can provide valuable insights to facilitate decision-making and develop national policies targeting specific groups given their cultural, geographic, and social conditions.

Social-spatial network structures among young urban and suburban persons who inject drugs in a large metropolitan area

Background

It is estimated that there are 1.5% US adult population who inject drugs in 2018, with young adults aged 18-39 showing the highest prevalence. PWID are at a high risk of many blood-borne infections. Recent studies have highlight the importance of employing the syndemic approach to study opioid misuse, overdose, HCV and HIV, along with the social and environmental contexts where these interrelated epidemics occur in already marginalized communities. Social interactions and spatial contexts are important structural factors that are understudied.

Methods

Egocentric injection network and geographic activity spaces for young (aged 18-30) PWID and their injection, sexual, and social support network members (i.e., where reside, inject drugs, purchase drugs, and meet sex partners) were examined using baseline data from an ongoing longitudinal study (n=258). Participants were stratified based on the location of all place(s) of residence in the past year i.e., urban, suburban, and transient (both urban and suburban) to i) elucidate geospatial concentration of risk activities within multi-dimensional risk environments based on kernel density estimates; and ii) examine spatialized social networks for each residential group.

Results

Participants were mostly non-Hispanic white (59%); 42% were urban residents, 28% suburban, and 30% transient. We identified a spatial area with concentrated risky activities for each residence group on the West side of Chicago where a large outdoor drug market area is located. The urban group (80%) reported a smaller concentrated area (14 census tracts) compared to the transient (93%) and suburban (91%) with 30 and 51 tracts, respectively. Compared to other areas in Chicago, the identified area had significantly higher neighborhood disadvantages (e.g., higher poverty rate, p <0.001). Significant ( p <0.01 for all) differences were observed in social network structures: suburban had the most homogenous network in terms of age and residence, transient participants had the largest network (degree) and more non-redundant connections.

Conclusion

We identified concentrated risk activity spaces among PWID from urban, suburban, and transient groups in a large outdoor urban drug market area, which highlights the need for considering the role of risk spaces and social networks in addressing the syndemics in PWID populations.

A National Study of Homelessness, Social Determinants of Health, and Treatment Engagement Among Outpatient Medication for Opioid Use Disorder-Seeking Individuals in the United States

BACKGROUND

Homelessness is an important social determinant of health (SDOH), impacting health outcomes for many medical conditions. Although homelessness is common among people with opioid use disorder (OUD), few studies systematically evaluate homelessness and other SDOH among people enrolled in standard of care treatment for OUD, medication for opioid use disorder (MOUD), or examine whether homelessness affects treatment engagement.

METHODS

Using data from the 2016 to 2018 U.S. Treatment Episode Dataset Discharges (TEDS-D), patient demographic, social, and clinical characteristics were compared between episodes of outpatient MOUD where homelessness was reported at treatment enrollment versus independent housing using pairwise tests adjusted for multiple testing. A logistic regression model examined the relationship between homelessness and treatment length and treatment completion while accounting for covariates.

RESULTS

There were 188 238 eligible treatment episodes. Homelessness was reported in 17 158 episodes (8.7%). In pairwise analysis, episodes involving homelessness were significantly different from those involving independent living on most demographic, social, and clinical characteristics, with significantly greater social vulnerability in most SDOH variables (P's < .05). Homelessness was significantly and negatively associated with treatment completion (coefficient = -0.0853, P < 0.001, 95% CI = [-0.114, -0.056], OR = 0.918) and remaining in treatment for greater than 180 days (coefficient = -0.3435, P < 0.001, 95% CI = [-0.371, -0.316], OR = 0.709) after accounting for covariates.

CONCLUSIONS

Patients reporting homelessness at treatment entry in outpatient MOUD in the U.S. represent a clinically distinct and socially vulnerable population from those not reporting homelessness. Homelessness independently predicts poorer engagement in MOUD confirming that homelessness may be an independent predictor for MOUD treatment discontinuation nationally.

Race and ethnicity moderate the associations between lifetime psychedelic use (MDMA/ecstasy and psilocybin) and major depressive episodes

BACKGROUND

Psychedelics are receiving renewed attention within Western medicine as they represent potential treatments for many difficult-to-treat mental health disorders. However, psychedelic science is limited in its focus and inclusion of racial and ethnic minorities. Hence, this study examines whether race and ethnicity moderate the associations that naturalistic 3,4-methylenedioxymethamphetamine (MDMA)/ecstasy use and psilocybin use share with major depressive episodes (MDEs).

METHOD

Data for this project are from The National Survey on Drug Use and Health (2005-2019). Participants were adults aged 18 years and older (unweighted N = 596,187). This study used multivariable logistic regression to test the interaction between race and ethnicity and MDMA/ecstasy use and psilocybin use for predicting lifetime, past year, and past year severe MDEs.

RESULTS

Race and ethnicity significantly moderated the associations between MDMA/ecstasy use and psilocybin use and MDEs. For White participants, MDMA/ecstasy use and psilocybin use each were associated with lowered odds of all three MDE outcomes (adjusted odds ratio (aOR) range: 0.82-0.92). For Hispanic participants, MDMA/ecstasy use and psilocybin use each conferred lowered odds of only a past year MDE (MDMA/ecstasy aOR: 0.82; psilocybin aOR: 0.79). For Non-Hispanic Racial Minority participants, MDMA/ecstasy and psilocybin use did not confer lowered odds of any MDE outcomes.

CONCLUSION

Race and ethnicity have an impact on the associations that psychedelics share with mental health outcomes. Future research should explore the impact of identity and discrimination on the effects of psychedelics and should explore whether these substances can serve as effective treatments for minorities when used in culturally informed contexts.

Racial and Ethnic Disparities in HIV Testing in People Who Use Drugs Admitted to a Tertiary Care Hospital

Ending the HIV epidemic requires increased testing, diagnosis, and linkage to care. In the past 10 years, rates of HIV have increased among people with substance use disorder (SUD). HIV testing is recommended during hospitalization. Despite rising rates of infections and recommendations, HIV testing remains suboptimal. This study sought to detect differences in HIV testing by race and ethnicity in people who use drugs (PWUD) admitted to Tufts Medical Center (TuftsMC). This study is a retrospective review of hospitalized PWUD admitted from January 1, 2017 to December 31, 2020. PWUD were identified through toxicology results, medication prescribed for SUD, and nursing intake questions. The primary outcome of interest was whether an HIV test was ordered during hospitalization. The indicator of interest was race and ethnicity. Of 13,486 PWUD admitted to TuftsMC, only 10% had an HIV test ordered. Compared with White patients, Black patients [adjusted odds ratio (AOR): 0.69, 95% confidence interval (CI) (0.59-0.83)] and Hispanic patients [AOR: 0.68, 95% CI (0.55-0.84)] had decreased odds of receiving an HIV test. Our report is the first to show racial and ethnic differences in HIV testing ordering for hospitalized PWUD. Without access to harm reduction tools and expanded systems-based testing strategies, the HIV epidemic will continue and disproportionately impact minoritized communities.

"I was 15 when I started doing drugs with my dad": Victimization, Social Determinants of Health, and Criminogenic Risk Among Women Opioid Intervention Court Participants

The presence and severity of childhood and adult victimization increase the likelihood of substance use disorder (SUD), crimes, antisocial behaviors, arrests, convictions, and medical and psychiatric disorders among women more than men. These problems are compounded by the impact of social determinants of health (SDH) challenges, which include predisposition to the understudied, dramatic increase in opioid dependence among women. This study examined victimization, related SDH challenges, gender-based criminogenic risk factors for female participants, and public health opportunities to address these problems. We recruited women from the first national Opioid Intervention Court, a fast-track SUD treatment response to rapidly increasing overdose deaths. We present a consensual qualitative research analysis of 24 women Opioid Intervention Court participants (among 31 interviewed) who reported childhood, adolescent, and/or adult victimization experiences in the context of substance use and recovery, mental health symptoms, heath behaviors, and justice-involved trajectories. We iteratively established codes and overarching themes. Six primary themes emerged: child or adolescent abuse as triggers for drug use; impact of combined child or adolescent abuse with loss or witnessing abuse; adult abduction or assault; trajectory from lifetime abuse, substance use, and criminal and antisocial behaviors to sobriety; role of friends and family support in recovery; and role of treatment and opioid court in recovery, which we related to SDH, gender-based criminogenic factors, and public health. These experiences put participants at risk of further physical and mental health disorders, yet indicate potential strategies. Findings support future studies examining strategies where courts and health systems could collaboratively address SDH with women Opioid Intervention Court participants.

Dealing with the epidemic of endocarditis in people who inject drugs

North America is facing an opioid epidemic and growing illicit drug supply, contributing to growing numbers of injection drug use-related infective endocarditis (IDU-IE). Patients with IDU-IE have high early and late mortality. Patients with IDU-IE more commonly present with right-sided IE compared to those with non-IDU-IE and a majority are a result of S. aureus. While most patients can be successfully managed with intravenous antibiotic treatment, surgery is often required in part related to high relapse rates, potential treatment biases, and more aggressive pathophysiology in some. Multidisciplinary management as endocarditis teams, including not only cardiologists and cardiac surgeons but also infectious disease specialists, drug addiction experts, social workers, neurologists and/or neurosurgeons, is essential to best manage substance use disorder and facilitate safe discharge to home and society. Structural and population-level interventions, such as harm reduction programs, are necessary to reduce IDU-IE relapse rates in the community and other IDU-related health concerns such as overdoses. In this review, we describe the pathophysiological, clinical, surgical, social, and ethical characteristics of IDU-IE and the management thereof. We present the most recent clinical guidelines for this condition and discuss existing gaps in knowledge to guide future research, practice changes, and policy interventions.

Engaging Adolescents in the Fight Against Drug Abuse and Addiction: A Concept Mapping Approach

BACKGROUND

To identify contextually-relevant strategies for reducing and eventually eliminating addiction, it is imperative to engage stakeholders that are most affected by drug abuse but typically left out of the conversation, such as adolescents.

AIM

The aim of this study was to collaborate with 45 adolescent stakeholders participating in a school-based research program to identify areas to address addiction.

METHODS

Guided by a modified version of the mixed-methods concept mapping approach, adolescents were asked to brainstorm and sort a list of statements about how to address addiction in their community. The data were then analyzed via multidimensional scaling and hierarchical cluster analysis.

RESULTS

The concept map identified eight clusters from 75 edited statements: policing/security (e.g., increase punishment for selling drugs), helping community (e.g., create more jobs), treatment (e.g., make treatments more affordable), increased awareness (e.g., identify and help at-risk youth), communication (e.g., more communication with people who are abusing drugs), increased understanding/education (e.g., online communities for people who are abusing drugs), clean up community (e.g., clean up abandoned houses) and prevent addiction (e.g., effectively deal with peer pressure).

DISCUSSION

These stakeholder-driven ideas are consistent with the socioecological framework of addressing substance use and add to the credibility and transferability of individual and systemic level approaches to reducing substance use in marginalized communities.

CONCLUSION

This study emphasizes the feasibility of engaging adolescents in the development of contextually-relevant addiction education, prevention, and treatment interventions in underserved communities.

The leading neighborhood-level predictors of drug overdose: A mixed machine learning and spatial approach

BACKGROUND

Drug overdose is a leading cause of unintentional death in the United States and has contributed significantly to a decline in life expectancy during recent years. To combat this health issue, this study aims to identify the leading neighborhood-level predictors of drug overdose and develop a model to predict areas at the highest risk of drug overdose using geographic information systems and machine learning (ML) techniques.

METHOD

Neighborhood-level (block group) predictors were grouped into three domains: socio-demographic factors, drug use variables, and protective resources. We explored different ML algorithms, accounting for spatial dependency, to identify leading predictors in each domain. Using geographically weighted regression and the best-performing ML algorithm, we combined the output prediction of three domains to produce a final ensemble model. The model performance was validated using classification evaluation metrics, spatial cross-validation, and spatial autocorrelation testing.

RESULTS

The variables contributing most to the predictive model included the proportion of households with food stamps, households with an annual income below $35,000, opioid prescription rate, smoking accessories expenditures, and accessibility to opioid treatment programs and hospitals. Compared to the error estimated from normal cross-validation, the generalized error of the model did not increase considerably in spatial cross-validation. The ensemble model using ML outperformed the GWR method.

CONCLUSION

This study identified strong neighborhood-level predictors that place a community at risk of experiencing drug overdoses, as well as protective factors. Our findings may shed light on several specific avenues for targeted intervention in neighborhoods at risk for high drug overdose burdens.

What Are the Correlates of Global Variations in the Prevalence of Opioid Use Disorders? An Analysis of Data From the Global Burden of Disease Study, 2019

Introduction

The recent opioid crisis in North America has brought the problem of opioid use disorders (OUD) into clinical and public health focus, with experts warning that other countries or regions may be at future risk of experiencing such crises. The existing literature suggests that a wide range of social, cultural and economic factors may be associated with the onset, course and outcome of OUD in individuals. The current study uses data on the estimated prevalence of OUDs across 115 countries, obtained from the Global Burden of Disease Study, 2019, to examine the bivariate and multivariate associations between national prevalence of OUD and these factors.

Methods

Data on the estimated prevalence of OUDs was obtained via a database query from the Global Burden of Disease (GBD) Collaborative Network database for the year 2019. Recent (2018-2019) data on 10 relevant variables identified in the literature (gross national income, economic inequality, urbanization, social capital, religious affiliation and practice, unemployment, divorce, cultural individualism, and prevalence of depression) were obtained from the GBD, World Bank and Our World in Data databases. After transformation to a normal distribution, bivariate and univariate analyses were conducted to identify the significance and strength of the associations between these variables and the prevalence of OUD.

Results

Of the 10 variables studied, all variables except the divorce rate and religious affiliation were significantly correlated with the prevalence of OUD on bivariate analyses, though the strength of these associations was in the poor to fair range. On multivariate analysis, a significant association was observed only for the prevalence of depression, with trends towards a positive association for cultural individualism and unemployment, and a protective trend observed for religious practice.

Discussion

Though subject to certain limitations inherent in cross-sectional analyses, these results suggest that certain variables may be associated with a higher prevalence of OUD at the national level. Replication and refinement of these analyses may prove useful in identifying countries or regions at risk of a future opioid epidemic or crisis, which could facilitate the institution of preventive measures or early intervention strategies.

Dynamics of Parental Opioid Use and Children's Health and Well-Being: An Integrative Systems Mapping Approach

The seemingly intractable opioid epidemic compels researchers, the media, and families to better understand the causes and effects of this complex and evolving public health crisis. The effects of this crisis on people using opioids, maternal prenatal opioid exposure, and neonatal abstinence syndrome are well-documented, but less is known about the impact of caregivers' opioid use on children's health and well-being. One challenge to understanding the effects of parental opioid use disorder (OUD) on child and adolescent outcomes is the numerous interrelated pathways in which a child's health and well-being can be impacted. To better understand these dynamic relationships, we applied a systems mapping approach to visualize complex patterns and interactions between pathways and potential leverage points for interventions. Specifically, we developed a causal loop diagram system map to elucidate the complex and interconnected relationships between parental OUD, social determinants of health at the family and socio-environmental levels, family strengths, social supports, and possible adverse impacts on children's physical and mental health and risks for future substance misuse. The goals of this research are to (1) identify factors and dynamics that contribute to the relationship between parental OUD and children's health and well-being and (2) illustrate how systems mapping as a tool can aid in understanding the complex factors and dynamics of the system(s) that influence the well-being of children and their parents or primary caregivers.

Negative illness feedbacks: High-frisk policing reduces civilian reliance on ED services

OBJECTIVE

This paper demonstrates that localized and chronic stop-question-and-frisk (SQF) practices are associated with community members' utilization of emergency department (ED) resources. To explain this relationship, we explore the empirical applicability of a legal epidemiological framework, or the study of legal institutional influences on the distribution of disease and injury.

DATA AND STUDY DESIGN

Analyses are derived from merging data from the Philadelphia Vehicle and Pedestrians Investigation, the National Historical Geographic Information System, and the Southeastern Philadelphia Community Health database to zip code identifiers common to all datasets. Weighted multilevel negative binomial regressions measure the influence that local SQF practices have on ED use for this population. Analytic methods incorporate patient demographic covariates including household size, health insurance status, and having a doctor as a usual source of care.

PRINCIPAL FINDINGS

Findings reveal that both tract-level frisking and poor health are linked to more frequent use of hospital EDs, per respondent report. Despite their health care needs, however, reporting poor/fair health status is associated with a substantial decrease in the rate of emergency department visits as neighborhood frisk concentration increases (IRR = 0.923; 95% CI: 0.891, 0.957). Moreover, more sickly people in high-frisk neighborhoods live in tracts that have greater racial disparities in frisking-a pattern that accounts for the moderating role of neighborhood frisking in sick people's usage of the emergency room.

CONCLUSIONS

Findings indicating the robust association reported above interrogate the chronic incompatibility of local health and human service system aims. The study also provides an interdisciplinary theoretical lens through which stakeholders can make sense of these challenges and their implications.

Developing explanatory models for life course shifts in the burden of substance use to inform future policy and practice

Past approaches to policy and practice for substance use have focused heavily on young people, but recent trends indicate this approach may not be where the future lies. The crises with escalating overdose mortality in several countries, particularly overdoses related to opioids, have drawn attention to life course shifts in the burdens of substance use. Overdose mortality rates for individuals in midlife have considerably outpaced those of adolescents and individuals in early adulthood. These diverging life course trends are occurring not only in the United States, but in other countries with growing overdose problems as well. The future of effective policy and practice depend upon evidence and analyses that adapt to emerging data on shifting life course trends in drug related mortality. Within this manuscript, we consider a range of theoretical possibilities on the divergence of midlife drug mortality trends from those of young people for the purpose of outlining an agenda for future research and practice. Specifically, we consider the following theoretical approaches to move research forward in this area: Changes in Medical Context hypothesis; Emergent Comorbidities hypothesis; Cohort hypothesis; Generational Forgetting hypothesis; Legal Regulation hypothesis; Strength of Life Course Bonds hypothesis; Deepening Inequality hypothesis; Measurement Reliability hypothesis. These theoretical frameworks attend specifically to the overdose crisis but extend to other aspects of substance use. Beyond setting an agenda for research by providing empirically verifiable hypotheses, this manuscript also identifies future directions in policy and practice that are attentive to life course trends.

Situating the Continuum of Overdose Risk in the Social Determinants of Health: A New Conceptual Framework

Policy Points This article reconceptualizes our understanding of the opioid epidemic and proposes six strategies that address the epidemic's social roots. In order to successfully reduce drug-related mortality over the long term, policymakers and public health leaders should develop partnerships with people who use drugs, incorporate harm reduction interventions, and reverse decades of drug criminalization policies.

CONTEXT

Drug overdose is the leading cause of injury-related death in the United States. Synthetic opioids, predominantly illicit fentanyl and its analogs, surpassed prescription opioids and heroin in associated mortality rates in 2016. Unfortunately, interventions fail to fully address the current wave of the opioid epidemic and often omit the voices of people with lived experiences regarding drug use. Every overdose death is a culmination of a long series of policy failures and lost opportunities for harm reduction.

METHODS

In this article, we conducted a scoping review of the opioid literature to propose a novel framework designed to foreground social determinants more directly into our understanding of this national emergency. The "continuum of overdose risk" framework is our synthesis of the global evidence base and is grounded in contemporary theories, models, and policies that have been successfully applied both domestically and internationally.

FINDINGS

De-escalating overdose risk in the long term will require scaling up innovative and comprehensive solutions that have been designed through partnerships with people who use drugs and are rooted in harm reduction.

CONCLUSIONS

Without recognizing the full drug-use continuum and the role of social determinants, the current responses to drug overdose will continue to aggravate the problem they are trying to solve.

Structural Determinants of Black MSM HIV Testing Coverage (2011-2016)

Over 30 years into the US HIV/AIDS epidemic, Black men who have sex with men (BMSM) continue to carry the highest burden of both HIV and AIDS cases. There is then, an urgent need to expand access to HIV prevention and treatment for all gay and bisexual men, underscoring the importance of the federal initiative 'Ending the Epidemic: A Plan for America'. This research examines structural factors associated with BMSM HIV testing coverage over time (2011-2016) in 85 US Metropolitan Statistical Areas (MSAs). We calculated MSA-specific annual measures of BMSM HIV testing coverage (2011-2016). Variables suggested by the Theory of Community Action (i.e., need, resource availability, institutional opposition and organized support) were analyzed as possible predictors of coverage using multilevel modeling. Relationships between BMSM HIV testing and the following covariates were positive: rates of BMSM living with HIV (b = 0.28), percent of Black residents employed (b = 0.19), Black heterosexual testing rate (b = 0.46), health expenditures per capita (b = 0.16), ACT UP organization presence in 1992 (b = 0.19), and syringe service presence (b = 0.12). Hard drug arrest rates at baseline (b = - 0.21) and change since baseline (b = - 0.10) were inversely associated with the outcome. Need, resources availability, organized support and institutional opposition are important determinants of place associated with BMSM HIV testing coverage. Efforts to reduce HIV incidence and lessen AIDS-related disparities among BMSM in the US require improved and innovative HIV prevention approaches directed toward BMSM including a fuller understanding of structural factors that may influence place variation in BMSM testing patterns and risk behavior in places of high need.

Hepatitis A Outbreaks Associated With the Opioid Epidemic in Kentucky Counties, 2017-2018

Objectives. To describe county-level socioeconomic profiles associated with Kentucky's 2017-2018 hepatitis A outbreak that predominately affected communities affected by the opioid epidemic.Methods. We linked county-level characteristics on socioeconomic and housing variables to counties' hepatitis A rates. Principal component analysis identified county profiles of poverty, education, disability, income inequality, grandparent responsibility, residential instability, and marital status. We used Poisson regression to estimate adjusted relative risks (RRs) and 95% confidence intervals (CIs).Results. Counties with scores reflecting an extremely disadvantaged profile (RR = 1.21; 95% CI = 0.99, 1.48) and greater percentage of nonmarried men, residential instability, and income inequality (RR = 1.15; 95% CI = 0.94, 1.41) had higher hepatitis A rates. Counties with scores reflecting more married adults, residential stability, and lower income inequality despite disability, poverty, and low education (RR = 0.77; 95% CI = 0.59, 1.00) had lower hepatitis A rates. Counties with a higher percentage of workers in the manufacturing industry had slightly lower rates (RR = 0.97; 95% CI = 0.94, 1.00).Conclusions. As expected, impoverished counties had higher hepatitis A rates. Evaluation across the socioeconomic patterns highlighted community-level factors (e.g., residential instability, income inequality, and social structures) that can be collected to augment hepatitis A data surveillance and used to identify higher-risk communities for targeted immunizations.

Trends over time in HIV prevalence among people who inject drugs in 89 large US metropolitan statistical areas, 1992-2013

PURPOSE

After years of stable or declining HIV prevalence and declining incidence among people who inject drugs (PWID) in the United States, some rapidly emerging outbreaks have recently occurred in new areas (e.g., Scott County, Indiana). However, to our knowledge, trends over time in HIV prevalence among PWID in US metropolitan statistical areas (MSAs) across all major regions of the country have not been systematically estimated beyond 2002, and the extent to which HIV prevalence may be increasing in other areas is largely unknown. This article estimates HIV prevalence among PWID in 89 of the most populated US MSAs, both overall and by geographic region, using more recent surveillance and HIV testing data.

METHODS

We computed MSA-specific annual estimates of HIV prevalence (both diagnosed and undiagnosed infections) among PWID for these 89 MSAs, for 1992-2013, using several data series from the Centers for Disease Control and Prevention's (CDC) National HIV Surveillance System and National HIV Prevention Monitoring and Evaluation data; Holmberg's (1997) estimates of 1992 PWID population size and of HIV prevalence and incidence among PWID; and research estimates from published literature using 1992-2013 data. A mixed effects model, with time nested within MSAs, was used to regress the literature review estimates on all of the other data series. Multiple imputation was used to address missing data. Resulting estimates were validated using previous 1992-2002 estimates of HIV prevalence and data on antiretroviral (ARV) prescription volumes and examined for patterns based on geographic region, numbers of people tested for HIV, and baseline HIV prevalence.

RESULTS

Mean (across all MSAs) trends over time suggested decreases through 2002 (from approximately 11.4% in 1992 to 9.2% in 2002), followed by a period of stability, and steep increases after 2010 (to 10.6% in 2013). Validation analyses found a moderate positive correlation between our estimates and ARV prescription volumes (r = 0.45), and a very strong positive correlation (r = 0.94) between our estimates and previous estimates by Tempalski et al. (2009) for 1992-2002 (which used different methods). Analysis by region and baseline prevalence suggested that mean increases in later years were largely driven by MSAs in the Western United States and by MSAs in the Midwest that had low baseline prevalence. Our estimates suggest that prevalence decreased across all years in the Eastern United States. These trends were particularly clear when MSAs with very low numbers of people tested for HIV were removed from analyses to reduce unexplained variability in mean trajectories.

CONCLUSIONS

Our estimates suggest a fairly large degree of variation in 1992-2013 trajectories of PWID HIV prevalence among 89 US MSAs, particularly by geographic region. They suggest that public health responses in many MSAs (particularly those with larger HIV prevalence among PWID in the early 1990s) were sufficient to decrease or maintain HIV prevalence over time. However, future research should investigate potential factors driving the estimated increase in prevalence after 2002 MSAs in the West and Midwest. These findings have potentially important implications for program and/or policy decisions, but estimates for MSAs with low HIV testing denominators should be interpreted with caution and verified locally before planning action.

Relationship of Racial Residential Segregation to Newly Diagnosed Cases of HIV among Black Heterosexuals in US Metropolitan Areas, 2008-2015

Social science and public health literature has framed residential segregation as a potent structural determinant of the higher HIV burden among black heterosexuals, but empirical evidence has been limited. The purpose of this study is to test, for the first time, the association between racial segregation and newly diagnosed heterosexually acquired HIV cases among black adults and adolescents in 95 large US metropolitan statistical areas (MSAs) in 2008-2015. We operationalized racial segregation (the main exposure) using Massey and Denton's isolation index for black residents; the outcome was the rate of newly diagnosed HIV cases per 10,000 black adult heterosexuals. We tested the relationship of segregation to this outcome using multilevel multivariate models of longitudinal (2008-2015) MSA-level data, controlling for potential confounders and time. All covariates were lagged by 1 year and centered on baseline values. We preliminarily explored mediation of the focal relationship by inequalities in education, employment, and poverty rates. Segregation was positively associated with the outcome: a one standard deviation decrease in baseline isolation was associated with a 16.2% reduction in the rate of new HIV diagnoses; one standard deviation reduction in isolation over time was associated with 4.6% decrease in the outcome. Exploratory mediation analyses suggest that black/white socioeconomic inequality may mediate the relationship between segregation and HIV. Our study suggests that residential segregation may be a distal determinant of HIV among black heterosexuals. The findings further emphasize the need to address segregation as part of a comprehensive strategy to reduce racial inequities in HIV.

A New Generation of Drug Users in St. Petersburg, Russia? HIV, HCV, and Overdose Risks in a Mixed-Methods Pilot Study of Young Hard Drug Users

Russia has a widespread injection drug use epidemic with high prevalence of HIV and HCV among people who inject drugs (PWID). We conducted a mixed methods study of young (age 18-26) hard drug users in St. Petersburg. Thirty-nine structured and 10 semi-structured interviews were conducted. No HIV cases and two HCV cases were detected among the PWID subsample (n = 29). Amphetamine and other stimulants were common (70%), opioid use was rare and episodic. Consistent condom use was 10%. No PWID reported syringe-sharing, 51% reported other drug paraphernalia sharing. Most (89%) never or rarely communicated with older (30 +) opiate users. A new cohort of drug users in St. Petersburg may have emerged, which is much safer in its injection practices compared to previous cohorts. However, risky sexual practices among this new cohort may expose them to the possibility of sexual transmission of HIV and widespread drug paraphernalia sharing to the HCV epidemic.

We know DAAs work, so now what? Simplifying models of care to enhance the hepatitis C cascade

Globally, some 71 million people are chronically infected with hepatitis C virus (HCV). Marginalized populations, particularly people who inject drugs (PWID), have low testing, linkage to care and treatment rates for HCV. Several models of care (MoCs) and service delivery interventions have the potential to improve outcomes across the HCV cascade of care, but much of the relevant research was carried out when interferon-based treatment was the standard of care. Often it was not practical to scale-up these earlier models and interventions because the clinical care needs of patients taking interferon-based regimens imposed too much of a financial and human resource burden on health systems. Despite the adoption of highly effective, all-oral direct-acting antiviral (DAA) therapies in recent years, approaches to HCV testing and treatment have evolved slowly and often remain rooted in earlier paradigms. The effectiveness of DAAs allows for simpler approaches and has encouraged countries where the drugs are widely available to set their sights on the ambitious World Health Organization (WHO) HCV elimination targets. Since a large proportion of chronically HCV-infected people are not currently accessing treatment, there is an urgent need to identify and implement existing simplified MoCs that speak to specific populations' needs. This article aims to: (i) review the evidence on MoCs for HCV; and (ii) distil the findings into recommendations for how stakeholders can simplify the path taken by chronically HCV-infected individuals from testing to cure and subsequent care and monitoring.

States with higher minimum wages have lower STI rates among women: Results of an ecological study of 66 US metropolitan areas, 2003-2015

Prior research has found that places and people that are more economically disadvantaged have higher rates and risks, respectively, of sexually transmitted infections (STIs). Economic disadvantages at the level of places and people, however, are themselves influenced by economic policies. To enhance the policy relevance of STI research, we explore, for the first time, the relationship between state-level minimum wage policies and STI rates among women in a cohort of 66 large metropolitan statistical areas (MSAs) in the US spanning 2003-2015. Our annual state-level minimum wage measure was adjusted for inflation and cost of living. STI outcomes (rates of primary and secondary syphilis, gonorrhea and chlamydia per 100,000 women) were obtained from the CDC. We used multivariable hierarchical linear models to test the hypothesis that higher minimum wages would be associated with lower STI rates. We preliminarily explored possible socioeconomic mediators of the minimum wage/STI relationship (e.g., MSA-level rates of poverty, employment, and incarceration). We found that a $1 increase in the price-adjusted minimum wage over time was associated with a 19.7% decrease in syphilis rates among women and with an 8.5% drop in gonorrhea rates among women. The association between minimum wage and chlamydia rates did not meet our cutpoint for substantive significance. Preliminary mediation analyses suggest that MSA-level employment among women may mediate the relationship between minimum wage and gonorrhea. Consistent with an emerging body of research on minimum wage and health, our findings suggest that increasing the minimum wage may have a protective effect on STI rates among women. If other studies support this finding, public health strategies to reduce STIs among women should include advocating for a higher minimum wage.

The intersectional risk environment of people who use drugs

Current conceptual models for examining the production of risk and harm (e.g. syndemics, 'risk environment') in substance use research have been fundamental in emphasizing broader environmental factors that shape health outcomes for people who use drugs (PWUD). However, the application of these frameworks in ways that highlight nuance and complexity has remained challenging, with much of this research focusing on select social positions (e.g. race, gender) and social-structural factors (e.g. poverty, drug policies). It is crucial that we move to better accounting for these relations in the context of substance use research to enhance equity in research and ensure understanding of diverse and complex needs. Building on the risk environment framework and complementary approaches, this article introduces the 'intersectional risk environment' as an approach to understanding the interconnected ways that social locations converge within the risk environment to produce or mitigate drug-related outcomes. This framework integrates a relational intersectional lens to examine how differential outcomes across populations of PWUD are produced in relation to social location and processes operating across social-structural dimensions. In doing so, the intersectional risk environment highlights how outcomes are products of processes and relations that are embodied, reflected, and challenged while situated within social, historical, and geographic contexts. Incorporating this framework into future research may improve understandings of health outcomes for PWUD and better orient structural interventions and public health approaches to address differential risks and experiences of PWUD.

Rural risk environments for hepatitis c among young adults in appalachian kentucky

BACKGROUND

Rural Kentucky is an epicenter of hepatitis C(HCV), especially among young adults who inject drugs. While the Risk Environment Framework (REF) has been used widely to study and address socio-ecological determinants of infectious disease among people who inject drugs (PWID), it has been almost exclusively applied to urban environments. Applying REF to rural environments can enhance our understanding of the drivers of HCV epidemics in these hard-hit areas, and inform the creation and implementation of harm reduction interventions in this local context.

METHODS

Participants were recruited between March and August 2017 via community-based outreach methods (e.g., cookouts, flyers) and peer referral. Individuals who met eligibility criteria (aged 18-35, recently used prescription opioids and/or heroin to get high, lived in one of the 5 target counties) participated indepth, semi-structured interviews. The interview guide was informed by the REF, and covered HCV-related risk behaviors and environmental features that shaped vulnerability to engaging in these behaviors. Interviews were transcribed and analyzed using constructivist grounded-theory methods.

RESULTS

Participants (N=19) described multiple intersecting risk environment features that shaped vulnerability to HCV transmission. Economic decline generated intergenerational poverty, dwindling employment prospects, and diminished social enrichment opportunities that collectively contributed to substance misuse and risky injection practices. Geographic isolation, lack of collective knowledge about HCV transmission risks, scarce harm reduction services, familial poverty, and fear of law enforcement interacted to increase the odds of people injecting in "trap houses" (akin to shooting galleries) or secluded areas, spaces in which they rushed to inject and shared injection equipment. Pervasive stigma was a structural barrier to adopting, expanding, and using harm reduction services.

CONCLUSION

This exploratory study identified features of rural risk environments that may contribute to significant HCV burdens in Appalachian Kentucky. Findings signal the importance of expanding proven harm reduction strategies and anti-stigma interventions tailored to rural contexts.

Health implications of sex trading characteristics in Long Beach, California, USA

This study examined the comparative health risk behaviors of women who (a) traded sex for money, (b) traded sex for drugs, (c) traded sex for both drugs and money, or (d) did not trade sex. Self-report data were collected from 2369 women who received services through HIV and sexually transmitted infection (STI) testing programs and a subset were tested for HIV, hepatitis B, hepatitis C, and syphilis. Results revealed those women who traded sex only for money used condoms, were tested for HIV, and received the HIV test results more often than the other women. Women who traded sex for both drugs and money reported a significantly higher prevalence of gonorrhea, hepatitis B, and syphilis; were more likely to test positive for hepatitis B, syphilis, and HIV; engaged more often in sex acts without condoms; and were incarcerated for significantly more days. Based on these findings, the targets with greatest potential for STI prevention interventions are female sex workers who trade sex for both drugs and money.

Identifying Which Place Characteristics are Associated with the Odds of Recent HIV Testing in a Large Sample of People Who Inject Drugs in 19 US Metropolitan Areas

This exploratory analysis investigates relationships of place characteristics to HIV testing among people who inject drugs (PWID). We used CDC's 2012 National HIV Behavioral Surveillance (NHBS) data among PWID from 19 US metropolitan statistical areas (MSAs); we restricted the analytic sample to PWID self-reporting being HIV negative (N = 7477). Administrative data were analyzed to describe the 1. Sociodemographic Composition; 2. Economic disadvantage; 3. Healthcare Service/Law enforcement; and 4. HIV burden of the ZIP codes, counties, and MSAs where PWID lived. Multilevel models tested associations of place characteristics with HIV testing. Fifty-eight percent of PWID reported past-year testing. MSA-level per capita correctional expenditures were positively associated with recent HIV testing among black PWID, but not white PWID. Higher MSA-level household income and imbalanced sex ratios (more women than men) in the MSA were associated with higher odds of testing. HIV screening for PWID is suboptimal (58%) and needs improvement. Identifying place characteristics associated with testing among PWID can strengthen service allocation and interventions in areas of need to increase access to HIV testing.

The Syndemic of Opioid Misuse, Overdose, HCV, and HIV: Structural-Level Causes and Interventions

PURPOSE OF REVIEW

This article reviews the case for recognizing (1) the epidemics of opioid misuse, overdose, hepatitis C virus, and HIV as a syndemic and (2) the importance of examining and addressing structural factors in responses to this syndemic. We focus on the current syndemic in the US, but also consider data from other locations to highlight the issues existing and arising in various contexts.

RECENT FINDINGS

Advances in multi-level theory and statistical methods allow sound ecologic and multi-level analyses of the impact of structural factors on the syndemic. Studies of opioid misuse, overdoses, hepatitis C virus, and HIV demonstrate that area-level access to healthcare, medication-assisted treatment of opioid use disorders, sterile injection equipment, and overdose prevention with naloxone, as well as factors such as opioid marketing, income inequality, intensity of policing activities, and health care policies, are related to the prevalence of substance misuse, overdoses, infection risk, and morbidity. Structural variables can predict area-level vulnerability to the syndemic. The implementation of combined prevention and treatment interventions can control and reverse components of the syndemic. Recognizing and monitoring potent structural factors can facilitate the identification of areas at risk of vulnerability to the syndemic. Further, many structural factors are modifiable through intervention and policy to reduce structural vulnerability and create health-enabling environments. Evidence supports the immediate implementation of broader HCV and HIV testing and substance use screening, medication-assisted treatment, needle/syringe exchange programs, naloxone programs, increased population-level implementation of HCV treatment, and further attention to structural-level factors predicting, and contributing to, area-level vulnerability, such as degrees of opioid marketing, distribution, and prescribing.

Differential experiences of Mexican policing by people who inject drugs residing in Tijuana and San Diego

BACKGROUND

Research among people who inject drugs (PWIDs) in the USA and Mexico has identified a range of adverse health impacts associated with policing of PWIDs. We employed a mixed methods design to investigate how PWIDs from San Diego and Mexico experienced policing in Tijuana, and how these interactions affect PWIDs behavior, stratifying by country of origin.

METHODS

In 2012-2014, 575 PWIDs in San Diego, 102 of whom had used drugs in Mexico in the past six months, were enrolled in the STAHR-II study, with qualitative interviews conducted with a subsample of 20 who had recently injected drugs in Mexico. During this period, 735 PWIDs in Tijuana were also enrolled in the El Cuete-IV study, with qualitative interviews conducted with a subsample of 20 recently stopped by police. We calculated descriptive statistics for quantitative variables and conducted thematic analysis of qualitative transcripts. Integration of these data involved comparing frequencies across cohorts and using qualitative themes to explain and explore findings.

RESULTS

Sixty-one percent of San Diego-based participants had been recently stopped by law enforcement officers (LEOs) in Mexico; 53% reported it was somewhat or very likely that they would be arrested while in Mexico because they look like a drug user. Ninety percent of Tijuana-based participants had been recently stopped by LEOs; 84% reported it was somewhat or very likely they could get arrested because they look like a drug user. Participants in both cohorts described bribery and targeting by LEOs in Mexico. However, most San Diego-based participants described compliance with bribery as a safeguard against arrest and detention, with mistreatment being rare. Tijuana-based participants described being routinely targeted by LEOs, were frequently detained, and reported instances of sexual and physical violence. Tijuana-based participants described modifying how, where, and with whom they injected drugs in response; and experienced feelings of stress, anxiety, and powerlessness. This was less common among San Diego-based participants, who mostly attempted to avoid contact with LEOs in Mexico while engaging in risky injection behavior.

CONCLUSION

Experiences of discrimination and stigma were reported by a larger proportion of PWIDs living in Mexico, suggesting that they may be subject to greater health harms related to policing practices compared with those residing in the USA. Our findings reinforce the importance of efforts to curb abuse and align policing practices with public health goals in both the US and Mexico.

Policing practices as a structural determinant for HIV among sex workers: a systematic review of empirical findings

Introduction

Sex workers are disproportionately infected with HIV worldwide. Significant focus has been placed on understanding the structural determinants of HIV and designing related interventions. Although there is growing international evidence that policing is an important structural HIV determinant among sex workers, the evidence has not been systematically reviewed.

Methods

We conducted a systematic review of quantitative studies to examine the effects of policing on HIV and STI infection and HIV-related outcomes (condom use; syringe use; number of clients; HIV/STI testing and access) among cis and trans women sex workers. Databases included PubMed, Embase, Scopus, Sociological Abstracts, Popline, Global Health (OVID), Web of Science, IBSS, IndMed and WHOLIS. We searched for studies that included police practices as an exposure for HIV or STI infection or HIV-related outcomes.

Results

Of the 137 peer-reviewed articles identified for full text review, 14 were included, representing sex workers' experiences with police across five settings. Arrest was the most commonly explored measure with between 6 and 45% of sex workers reporting having ever been arrested. Sexual coercion was observed between 3 and 37% of the time and police extortion between 12 and 28% across studies. Half the studies used a single measure to capture police behaviours. Studies predominantly focused on “extra-legal policing practices,” with insufficient attention to the role of “legal enforcement activities”. All studies found an association between police behaviours and HIV or STI infection, or a related risk behaviour.

Conclusions

The review points to a small body of evidence that confirms policing practices as an important structural HIV determinant for sex workers, but studies lack generalizability with respect to identifying those police behaviours most relevant to women's HIV risk environment.