What explains the association between neighborhood-level income inequality and the risk of fatal overdose in New York City?

Examining the Relationship Between Local Governmental Expenditures on the Social Determinants of Health and County-Level Overdose Deaths, 2017-2020

CONTEXT

Prior studies have examined the social determinants of health (SDOH) characteristics of counties with elevated rates of overdose deaths. However, this research often ignores variation in upstream governmental investment in these SDOH categories.

OBJECTIVE

To examine the association of local governmental investments in SDOH with drug overdose mortality at the county level, controlling for demographic and socioeconomic characteristics.

DESIGN

Longitudinal analysis from 2017 to 2020.

SETTING

United States counties.

PARTICIPANTS

3126 counties.

MAIN OUTCOME AND MEASURES

The primary study outcome was county overdose death rates per 100 000 population taken from the Centers for Disease Control and Prevention. The main predictor of interest was the per capita average of local governmental expenditures in public health, social service, and education drawn from the U.S. Census of Governments, categorized into quartiles. Covariates included county-level socioeconomic and demographic characteristics as well as county-level SUD services from the AHRQ SDOH Database.

RESULTS

In longitudinal multivariate linear regression models with state and year fixed effects, counties in the highest 3 quartiles of SDOH spending had significantly lower rates of overdose deaths compared with counties in the lowest quartile of SDOH spending; in particular, counties in quartile 2 had an average of 9.09 fewer overdose deaths per 100 000 population (95% CI: -12.58, -5.60), counties in quartile 3 had an average of 13.18 fewer deaths per 100 000 population (95% CI: -17.56; -8.80), and counties in quartile 4 had an average of 13.92 deaths per 100 000 population (95% CI: -19.16, -8.68).

CONCLUSIONS

Our findings demonstrate that higher levels of local governmental investments in SDOH were associated with significantly lower rates of overdose death in U.S. counties after controlling for socioeconomic and demographic characteristics. Going forward, research should focus on determining causality in this relationship, the mechanisms through which this relationship occurs, as well as assess the impact of local public health expenditures allocated toward SUD prevention and treatment specifically on substance use outcomes at the local level.

Social and economic determinants of drug overdose deaths: a systematic review of spatial relationships

PURPOSE

To synthesize the available evidence on the extent to which area-level socioeconomic conditions are associated with drug overdose deaths in the United States.

METHODS

We performed a systematic review (in MEDLINE, EMBASE, PsychINFO, Web of Science, EconLit) for papers published prior to July 2022. Eligible studies quantitatively estimated the association between an area-level measure of socioeconomic conditions and drug overdose deaths in the US, and were published in English. We assessed study quality using the Effective Public Health Practice Project Quality Assessment Tool. The protocol was preregistered at Prospero (CRD42019121317).

RESULTS

We identified 28 studies that estimated area-level effects of socioeconomic conditions on drug overdose deaths in the US. Studies were scored as having moderate to serious risk of bias attributed to both confounding and in analysis. Socioeconomic conditions and drug overdose death rates were moderately associated, and this was a consistent finding across a large number of measures and differences in study designs (e.g., cross-sectional versus longitudinal), years of data analyzed, and primary unit of analysis (e.g., ZIP code, county, state).

CONCLUSIONS

This review highlights the evidence for area-level socioeconomic conditions are an important factor underlying the geospatial distribution of drug overdose deaths in the US and the need to understand the mechanisms underlying these associations to inform future policy recommendations. The current evidence base suggests that, at least in the United States, employment, income, and poverty interventions may be effective targets for preventing drug overdose mortality rates.

Characterizing opioid overdose hotspots for place-based overdose prevention and treatment interventions: A geo-spatial analysis of Rhode Island, USA

OBJECTIVE

Examine differences in neighborhood characteristics and services between overdose hotspot and non-hotspot neighborhoods and identify neighborhood-level population factors associated with increased overdose incidence.

METHODS

We conducted a population-based retrospective analysis of Rhode Island, USA residents who had a fatal or non-fatal overdose from 2016 to 2020 using an environmental scan and data from Rhode Island emergency medical services, State Unintentional Drug Overdose Reporting System, and the American Community Survey. We conducted a spatial scan via SaTScan to identify non-fatal and fatal overdose hotspots and compared the characteristics of hotspot and non-hotspot neighborhoods. We identified associations between census block group-level characteristics using a Besag-York-Mollié model specification with a conditional autoregressive spatial random effect.

RESULTS

We identified 7 non-fatal and 3 fatal overdose hotspots in Rhode Island during the study period. Hotspot neighborhoods had higher proportions of Black and Latino/a residents, renter-occupied housing, vacant housing, unemployment, and cost-burdened households. A higher proportion of hotspot neighborhoods had a religious organization, a health center, or a police station. Non-fatal overdose risk increased in a dose responsive manner with increasing proportions of residents living in poverty. There was increased relative risk of non-fatal and fatal overdoses in neighborhoods with crowded housing above the mean (RR 1.19 [95 % CI 1.05, 1.34]; RR 1.21 [95 % CI 1.18, 1.38], respectively).

CONCLUSION

Neighborhoods with increased prevalence of housing instability and poverty are at highest risk of overdose. The high availability of social services in overdose hotspots presents an opportunity to work with established organizations to prevent overdose deaths.

Causal Assessment of Income Inequality on Self-Rated Health and All-Cause Mortality: A Systematic Review and Meta-Analysis

Policy Points Income is thought to impact a broad range of health outcomes. However, whether income inequality (how unequal the distribution of income is in a population) has an additional impact on health is extensively debated. Studies that use multilevel data, which have recently increased in popularity, are necessary to separate the contextual effects of income inequality on health from the effects of individual income on health. Our systematic review found only small associations between income inequality and poor self-rated health and all-cause mortality. The available evidence does not suggest causality, although it remains methodologically flawed and limited, with very few studies using natural experimental approaches or examining income inequality at the national level.

CONTEXT

Whether income inequality has a direct effect on health or is only associated because of the effect of individual income has long been debated. We aimed to understand the association between income inequality and self-rated health (SRH) and all-cause mortality (mortality) and assess if these relationships are likely to be causal.

METHODS

We searched Medline, ISI Web of Science, Embase, and EconLit (PROSPERO: CRD42021252791) for studies considering income inequality and SRH or mortality using multilevel data and adjusting for individual-level socioeconomic position. We calculated pooled odds ratios (ORs) for poor SRH and relative risk ratios (RRs) for mortality from random-effects meta-analyses. We critically appraised included studies using the Risk of Bias in Nonrandomized Studies - of Interventions tool. We assessed certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework and causality using Bradford Hill (BH) viewpoints.

FINDINGS

The primary meta-analyses included 2,916,576 participants in 38 cross-sectional studies assessing SRH and 10,727,470 participants in 14 cohort studies of mortality. Per 0.05-unit increase in the Gini coefficient, a measure of income inequality, the ORs and RRs (95% confidence intervals) for SRH and mortality were 1.06 (1.03-1.08) and 1.02 (1.00-1.04), respectively. A total of 63.2% of SRH and 50.0% of mortality studies were at serious risk of bias (RoB), resulting in very low and low certainty ratings, respectively. For SRH and mortality, we did not identify relevant evidence to assess the specificity or, for SRH only, the experiment BH viewpoints; evidence for strength of association and dose-response gradient was inconclusive because of the high RoB; we found evidence in support of temporality and plausibility.

CONCLUSIONS

Increased income inequality is only marginally associated with SRH and mortality, but the current evidence base is too methodologically limited to support a causal relationship. To address the gaps we identified, future research should focus on income inequality measured at the national level and addressing confounding with natural experiment approaches.

Structural Inequality and COVID-19 Mortality in Chicago: An Ecological Analysis

BACKGROUND

Prior studies establish that Black neighborhoods and older persons experience higher rates of COVID-19 death than white neighborhoods and younger persons. However, such works point to the effect of age on COVID-19 mortality and the racial and ethnic inequalities present in COVID-19 deaths as independent vectors of inequality, neglecting to consider the multiplicative impact of structural conditions.

METHODS

Using weekly ZIP code counts of deaths from March 2020 through July 2021 from the Chicago Department of Public Health (n = 4168) and measures of structural characteristics derived from the 5-year estimates of the 2019 American Community Survey, the current study examined how place, racial composition, and the age structure of communities act in tandem to shape the number of deaths due to COVID-19. We used STATA to estimate negative binomial models predictive of COVID-19 mortality.

RESULTS

Findings from our statistical analysis revealed that in predominately Black neighborhoods, racial composition amplified the association of age structure (65 +) on COVID-19 mortality by 40%. Neighborhoods that were not predominately black did not show this multiplicative risk of death. Our findings underscore that the elevated risk of death in in older Black communities is attributed to historic and contemporary structural inequality.

CONCLUSIONS

Although society typically frames pandemics as natural disasters, doing such undermines dimensions of marginalization that amplify vulnerability among select populations. To begin eliminating such inequalities, the USA must deal with the entrenched limitations of institutions that render unequal attention and care to sectors of its population.

Individual-level and neighborhood-level shifts in mortality patterns among drug poisoning deaths in a high-density Asian city: a territory-wide, case-only analysis

BACKGROUND

The shifts in individual-level and neighborhood-level patterns of drug poisoning deaths in a high-density Asian city over time have been underestimated, although they provide essential information for community-based surveillance and interventions.

METHODS

A case-only analysis with a 16-y, territory-wide, population-based registry in Hong Kong was applied to compare drug poisoning deaths from 2001 to 2010 with 2011 to 2016. Drug poisoning deaths, deaths from heroin and deaths from other opioids (codeine or morphine) were extracted (ICD codes: T36-T50, T40.1, T40.2). Binomial regressions were used to estimate the shifts in mortality patterns.

RESULTS

Among 3069 drug poisoning deaths, a significant shift in mortality patterns was found despite a decreasing mortality trend in Hong Kong. Overall, drug poisoning deaths shifted towards middle-aged/young-old, widowed/divorced, economically active, white collar and non-local born. Since 2011, more deaths from heroin were in older ages and non-local born, but less were never married and economically inactive. More deaths from other opioids were middle-aged, young-old and divorced. In particular, most decedents shifted towards young-old, especially deaths from other opioids. Compared with deaths during 2001-2010, there were 3.72- and 6.50-fold more deaths from heroin and deaths from other opioids in those aged ≥60 y since 2021 (ORs: 3.72 [2.37, 5.86], 6.50 [3.97, 10.65]), respectively. Additionally, drug poisoning deaths shifted towards areas with less neighborhood deprivation (more high-education individuals and a mix of private/public housing residents), especially deaths from other opioids.

CONCLUSION

Misuse of registered drugs (e.g. opioid pain relievers) could be a rising trend among vulnerable subpopulations in Hong Kong other than illegal drug use (heroin). Health officials should provide more advice and support on drug information. Specifically, an improved health system with education regarding the appropriate use of registered drugs for medical treatments should be provided to mid-/high-income and local-born individuals.

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.

Understanding the differential effect of local socio-economic conditions on the relation between prescription opioid supply and drug overdose deaths in US counties

BACKGROUND AND AIMS

Both local socio-economic conditions and prescription opioid supply are associated with drug overdose deaths, which exhibit substantial geographical heterogeneity across the United States. We measured whether the associations of prescription opioid supply with drug overdose deaths vary by local socio-economic conditions.

DESIGN

Ecological county-level study, including 3109 US counties between 2006 and 2019 (n = 43 526 county-years) using annual mortality data.

SETTING

United States.

CASES

A total of 711 447 drug overdose deaths.

MEASUREMENTS

We modeled overdose counts using Bayesian hierarchical Poisson models, estimating associations between four types of drug overdose deaths (deaths involving any drugs, any opioid, prescription opioids only and heroin), prescription opioid supply and five socio-economic indicators: unemployment, poverty rate, income inequality, Rey index (components include mean household income, % high school graduates, % blue-collar workers and unemployment rate), and American human development index (HDI; an indicator of community wellbeing).

FINDINGS

Drug overdose deaths and all substance-specific overdose deaths were higher in counties with higher income inequality [adjusted odds ratios (aORs) = 1.09-1.13], Rey index (aORs = 1.15-1.21) and prescription opioid supply (aORs = 1.14-1.21), and lower in counties with higher HDI scores (aORs = 0.75-0.92). Poverty rate, income inequality and HDI scores were found to modify the effect of prescription opioid supply on heroin overdose deaths. The plot of the interactions showed that when disadvantage is high, increasing prescription opioid supply does not increase heroin overdose deaths. The less disadvantage there is, indicated by lower poverty rates, higher HDI scores and lower income inequality, the greater the effect of increasing prescription opioid supply relative to population size on heroin overdose deaths in US counties.

CONCLUSIONS

In the United States, prescription opioid supply is associated with higher drug overdose deaths; associations are stronger in counties with less disadvantage and less income inequality, but only for heroin overdose deaths.

U.S. Military veterans and the opioid overdose crisis: a review of risk factors and prevention efforts

U.S. military veterans have been heavily impacted by the opioid overdose crisis, with drug overdose mortality rates increasing by 53% from 2010-2019. Risk for overdose among veterans is complex and influenced by ongoing interaction among physiological/biological, psychological, and socio-structural factors. A thorough understanding of opioid-related overdose among veterans, one that goes beyond simple pharmacological determinism, must examine the interplay of pain, pain treatment, and stress, as well as psychological and social experiences-before, during, and after military service. Comprehensive efforts to tackle the overdose crisis among veterans require interventions that address each of these dimensions. Promising interventions include widespread naloxone distribution and increased provision of low-threshold wrap-around services, including medications for opioid use disorder (MOUD) and holistic/complementary approaches. Interventions that are delivered by peers - individuals who share key experiential or sociodemographic characteristics with the population being served - may be ideally suited to address many of the barriers to opioid-related risk mitigation common among veterans. Community care models could be beneficial for the large proportion of veterans who are not connected to the Veterans Health Administration and for veterans who, for various reasons including mental health problems and the avoidance of stigma, are socially isolated or reluctant to use traditional substance use services. Interventions need to be tailored in such a way that they reach those more socially isolated veterans who may not have access to naloxone or the social support to help them in overdose situations. It is important to incorporate the perspectives and voices of veterans with lived experience of substance use into the design and implementation of new overdose prevention resources and strategies to meet the needs of this population. Key messagesU.S. military veterans have been heavily impacted by the opioid overdose crisis, with drug overdose mortality rates increasing by 53% from 2010-2019.The risks for overdose that veterans face need to be understood as resulting from an ongoing interaction among biological/physiological, psychological, and social/structural factors.Addressing drug overdose in the veteran population requires accessible and non-judgemental, low threshold, wraparound, and holistic solutions that recognise the complex aetiology of overdose risk for veterans.

Investigating the association between income inequality in youth and deaths of despair in Canada: a population-based cohort study from 2006 to 2019

BACKGROUND

Deaths due to suicide, drug overdose and alcohol-related liver disease, collectively known as 'deaths of despair', have been markedly increasing since the early 2000s and are especially prominent in young Canadians. Income inequality has been linked to this rise in deaths of despair; however, this association has not yet been examined in a Canadian context, nor at the individual level or in youth. The study objective was to examine the association between income inequality in youth and deaths of despair among youth over time.

METHODS

We conducted a population-based longitudinal study of Canadians aged 20 years or younger using data from the Canadian Census Health and Environment Cohorts. Baseline data from the 2006 Canadian Census were linked to the Canadian Vital Statistics Database up to 2019. We employed multilevel survival analysis models to quantify the association between income inequality in youth and time-to deaths of despair.

RESULTS

The study sample included 1.5 million Canadians, representing 7.7 million Canadians between the ages of 0 and 19 at baseline. Results from the weighted, adjusted multilevel survival models demonstrated that income inequality was associated with an increased hazard of deaths of despair (adjusted HR (AHR) 1.35; 95% CI 1.04 to 1.75), drug overdose (AHR 2.38; 95% CI 1.63 to 3.48) and all-cause deaths (AHR 1.10; 95% CI 1.04 to 1.18). Income inequality was not significantly associated with suicide deaths (AHR 1.23, 95% CI 0.93 to 1.63).

CONCLUSION

The results show that higher levels of income inequality in youth are associated with an increased hazard of all-cause death, deaths of despair and drug overdose in young Canadians. This study is the first to reveal the association between income inequality and deaths of despair in youth and does so using a population-based longitudinal cohort involving multilevel data. The results of this study can inform policies related to income inequality and deaths of despair in Canada.

The spatial prevalence and associated factors of opioid overdose mortality in Milwaukee County, Wisconsin (2003-2018)

Mortality from opioid overdose has become the leading cause of non-natural death in Milwaukee County, Wisconsin in recent years. In order to better understand the opioid epidemic and formulate pro-active responses to the crisis at the local level, this study examines the spatial prevalence and associated factors of opioid overdoses that end in mortality in Milwaukee, WI using the spatial econometrics model. The social determinants of health framework is used to identify the potential related socioeconomic factors associated with opioid use and misuse. Using principal component analysis, 6 primary components are identified from the chosen social determinants and used as explanatory variables in the spatial econometric analysis. The age-adjusted standardized mortality rate is calculated for each census tract as the dependent variable in the analysis. Overall low socioeconomic status, labor-intensive occupations, income inequality, and the 20-34-year-old age group are identified as variables with a significant contribution to high overdose mortality rates, both directly and indirectly. A significant global spillover effect is also identified at the census tract level, indicating the severity of the opioid epidemic in Milwaukee County. This study reveals the overall contribution that socioeconomic factors have on the opioid epidemic and their associated feedback effects, providing targeted information on the opioid epidemic.

Conceptualizing the Socio-Built Environment: An Expanded Theoretical Framework to Promote a Better Understanding of Risk for Nonmedical Opioid Overdose Outcomes in Urban and Non-Urban Settings

Nonmedical opioid (NMO) use has been linked to significant increases in rates of NMO morbidity and mortality in non-urban areas. While there has been a great deal of empirical evidence suggesting that physical features of built environments represent strong predictors of drug use and mental health outcomes in urban settings, there is a dearth of research assessing the physical, built environment features of non-urban settings in order to predict risk for NMO overdose outcomes. Likewise, there is strong extant literature suggesting that social characteristics of environments also predict NMO overdoses and other NMO use outcomes, but limited research that considers the combined effects of both physical and social characteristics of environments on NMO outcomes. As a result, important gaps in the scientific literature currently limit our understanding of how both physical and social features of environments shape risk for NMO overdose in rural and suburban settings and therefore limit our ability to intervene effectively. In order to foster a more holistic understanding of environmental features predicting the emerging epidemic of NMO overdose, this article presents a novel, expanded theoretical framework that conceptualizes "socio-built environments" as comprised of (a) environmental characteristics that are applicable to both non-urban and urban settings and (b) not only traditional features of environments as conceptualized by the extant built environment framework, but also social features of environments. This novel framework can help improve our ability to identify settings at highest risk for high rates of NMO overdose, in order to improve resource allocation, targeting, and implementation for interventions such as opioid treatment services, mental health services, and care and harm reduction services for people who use drugs.

Inequality in Place: Effects of Exposure to Neighborhood-Level Economic Inequality on Mortality

This study contributes to the debate on whether income inequality is harmful for health by addressing several analytical weaknesses of previous studies. Using the Panel Study of Income Dynamics in combination with tract-level measures of income inequality in the United States, we estimate the effects of differential exposure to income inequality during three decades of the life course on mortality. Our study is among the first to consider the implications of income inequality within U.S. tracts for mortality using longitudinal and individual-level data. In addition, we improve upon prior work by accounting for the dynamic relationship between local areas and individuals' health, using marginal structural models to account for changes in exposure to local income inequality. In contrast to other studies that found no significant relation between income inequality and mortality, we find that recent exposure to higher local inequality predicts higher relative risk of mortality among individuals at ages 45 or older.

Machine learning takes a village: Assessing neighbourhood-level vulnerability for an overdose and infectious disease outbreak

BACKGROUND

Multiple areas in the United States of America (USA) are experiencing high rates of overdose and outbreaks of bloodborne infections, including HIV and hepatitis C virus (HCV), due to non-sterile injection drug use. We aimed to identify neighbourhoods at increased vulnerability for overdose and infectious disease outbreaks in Rhode Island, USA. The primary aim was to pilot machine learning methods to identify which neighbourhood-level factors were important for creating "vulnerability assessment scores" across the state. The secondary aim was to engage stakeholders to pilot an interactive mapping tool and visualize the results.

METHODS

From September 2018 to November 2019, we conducted a neighbourhood-level vulnerability assessment and stakeholder engagement process named The VILLAGE Project (Vulnerability Investigation of underlying Local risk And Geographic Events). We developed a predictive analytics model using machine learning methods (LASSO, Elastic Net, and RIDGE) to identify areas with increased vulnerability to an outbreak of overdose, HIV and HCV, using census tract-level counts of overdose deaths as a proxy for injection drug use patterns and related health outcomes. Stakeholders reviewed mapping tools for face validity and community distribution.

RESULTS

Machine learning prediction models were suitable for estimating relative neighbourhood-level vulnerability to an outbreak. Variables of importance in the model included housing cost burden, prior overdose deaths, housing density, and education level. Eighty-nine census tracts (37%) with no prior overdose fatalities were identified as being vulnerable to such an outbreak, and nine of those were identified as having a vulnerability assessment score in the top 25%. Results were disseminated as a vulnerability stratification map and an online interactive mapping tool.

CONCLUSION

Machine learning methods are well suited to predict neighborhoods at higher vulnerability to an outbreak. These methods show promise as a tool to assess structural vulnerabilities and work to prevent outbreaks at the local level.

A spatio-temporal Bayesian model to estimate risk and evaluate factors related to drug-involved emergency department visits in the greater Baltimore metropolitan area

The ongoing opioid overdose epidemic in the United States presents a major public health challenge. Opioid-involved morbidity, especially nonfatal emergency department (ED) visits, are a key opportunity to prevent mortality and measure the extent of the problem in the local substance use landscape. Data on the rate of ED visits is normally distributed by federal agencies. However, state- and substate-level rates of ED visit demonstrate significant geographic variation. This study uses an ongoing sample of ED visits from four hospitals in the University of Maryland Medical System from January 2016 to December 2019 to provide locally sensitive information on ED visit rates and risk for drug-related health outcomes. Using exploratory spatial data analysis and spatio-temporal Bayesian models, this study analyzes both the frequency and risk of heroin-, methadone-, and cocaine-involved ED visits across the greater Baltimore Maryland area at the Zip Code Tabulation Area-level (ZCTA). The Global Moran's I for total heroin-, methadone-, and cocaine-involved ED visits in 2019 was 0.44, 0.56, and 0.53, demonstrating strong positive spatial autocorrelation. Spatio-temporal Bayesian models indicated that ZCTA with a higher score in a deprivation index, with a higher share of Centers for Medicare Services claims, and adjacent to a sampled UMMS hospital had an increased risk of ED visits, with variation in the magnitude of this increased risk depending on the drug-demographic strata. Modeled disease risk surfaces - including posterior median risk and posterior exceedance probabilities - showed distinctly different risk surfaces between the substances of interest, probabilistically identifying ZCTA with a lower or higher risk of ED visits. The modeling approach used a sample of ED visits from a larger health system to estimate recent, locally sensitive drug-related morbidity across a large metropolitan area.

Alcohol outlets, drug paraphernalia sales, and neighborhood drug overdose

BACKGROUND

Alcohol outlets have been associated with various forms of injury and may contribute to neighborhood disparities in drug overdose. Few studies have examined the associations between alcohol outlets and drug overdose. This study investigated whether alcohol outlets were associated with the neighborhood drug overdose rate and whether the sale of drug paraphernalia contributes to this association.

METHODS

A cross-sectional ecological spatial analysis was conducted within census block groups in Baltimore City (n = 653). Outcomes were counts of EMS calls for any drug overdose in 2015 (n = 3,856). Exposures of interest were counts of alcohol outlets licensed for off-premise and on-premise consumption and the proportion of off-premise outlets selling drug paraphernalia (e.g., blunt wrappers, baggies, pipes). Negative binomial regression was used to assess the relationship between outlet count and overdose rate, and if paraphernalia sales altered this relationship, controlling for other neighborhood factors. Spatial autocorrelation was assessed and regression inference adjusted accordingly.

RESULTS

Each additional off-premise alcohol outlet was associated with a 16.6% increase in the neighborhood overdose rate (IRR=1.17, 95%CI=(1.11, 1.23)), adjusted for other neighborhood variables. On-premise alcohol outlets were not significantly associated with overdose rate when adjusting for off-premise alcohol outlets (IRR=1.01, 95% CI=(0.97, 1.06)). The proportion of off-premise outlets that sold drug paraphernalia was negatively associated with overdose rate (IRR=0.55, 95% CI=(0.41, 0.74)) and did not alter the relationship between off-premise outlets and overdose.

CONCLUSION

This study provides preliminary public health evidence for informing policy decisions about alcohol outlet licensing and zoning. Alcohol outlets could be potential community partners for harm reduction strategies such as health communication in identifying overdose symptoms or Good Samaritan Laws.

The ecology of overdose mortality in Philadelphia

Fatal drug overdose represents a significant public health threat in Philadelphia, but substantial variation exists across its communities. This study uses negative binomial longitudinal regression to model ZIP code overdose fatalities over a seven-year period. Model covariates indicate that structural inequality, police arrest activity, and features of the built environment are associated with increased mortality across ZIP codes. Additionally, fatalities are spatially concentrated in select geographies of the city. These findings emphasize the pertinence of community ecological features in the production of stratified within-city health outcomes, and inform the geographic distribution of harm reduction interventions.

Unintentional drug overdose: Is more frequent use of non-prescribed buprenorphine associated with lower risk of overdose?

BACKGROUND

Unintentional drug overdoses have reached epidemic levels in the U.S. This study tests the hypothesis that people who have used non-prescribed buprenorphine more frequently in the past six months were less likely to experience a drug overdose during that same time period.

METHODS

Participants age 18 years or older with opioid use disorder who reported use of non-prescribed buprenorphine in the last six months were recruited from the Dayton, Ohio, area using a combination of targeted and modified respondent-driven sampling. Participants completed a structured interview, including six-month timeline follow-back, after informed consent. Logistic regression was used to test the association between (log-transformed) frequency of non-prescribed buprenorphine use and overdose in the previous six months, adjusted for confounding due to sex, homelessness, incarceration, substance use treatment, previous overdose, heroin/fentanyl injection, psychiatric comorbidity, and (log-transformed) frequencies of other (non-opioid) drug use.

RESULTS

Almost 89% of 356 participants were white, 50.3% were male, and 78.1% had high school or greater education. Over 27% (n = 98) reported experiencing an overdose in the past six months. After adjusting for confounding, greater frequency of non-prescribed buprenorphine use was significantly associated with lower risk of overdose (AOR = 0.81, 95% CI = 0.66, 0.98; p = .0286). Experiencing an overdose more than six months ago (AOR = 2.19, 95% CI = 1.24, 3.97); injection as the most common route of administration of heroin/fentanyl (AOR = 2.49, 95% CI = 1.36, 4.71); and frequency of methamphetamine use (AOR = 1.13, 95% CI = 1.02, 1.27) were strongly associated with increased risk of recent overdose in multivariable analysis.

DISCUSSION

The findings support our hypothesis that higher frequency of non-prescribed buprenorphine use is associated with lower risk of drug overdose, a potential harm reduction consequence of diversion. Improving the availability of buprenorphine though standard substance use disorder treatment, primary care, and other innovative methods is urgently needed.

Increased Risk of Opioid Overdose Death Following Cold Weather: A Case-Crossover Study

BACKGROUND

The United States is in the midst of an opioid overdose crisis. Little is known about the role of environmental factors in increasing risk of fatal opioid overdose.

METHODS

We conducted a case-crossover analysis of 3,275 opioid overdose deaths recorded in Connecticut and Rhode Island in 2014-2017. We compared the mean ambient temperature on the day of death, as well as average temperature up to 14 days before death, to referent periods matched on year, month, and day of week.

RESULTS

Low average temperatures over the 3-7 days before death were associated with higher odds of fatal opioid overdose. Relative to 11°C, an average temperature of 0°C over the 7 days before death was associated with a 30% higher odds of death (odds ratio: 1.3; 95% confidence interval, 1.1, 1.5).

CONCLUSIONS

Low average temperature may be associated with higher risk of death due to opioid overdose.

Overdose and adverse drug event experiences among adult patients in the emergency department

INTRODUCTION

Overdose is a leading cause of injury and death in the United States. Emergency Department (ED) patients have an elevated prevalence of substance use. This study describes overdose/adverse drug event experiences among adult ED patients to inform strategies to address overdose risk.

METHODS

Patients seeking care at a large ED in the city of Flint, Michigan participated in a computerized self-assessment during 2011-2013 (n=4571). Overdose was assessed with a broad definition and included occurrences that could be considered adverse drug events. Among those with this type of experience, additional items assessed symptoms, outcomes, and intent.

RESULTS

12% reported an overdose history. Of participants' most serious overdoses, 74% were without clear intent for self-harm, although this was true of only 61% of overdoses involving opiates or sedatives, and 52% had symptoms present that indicated that it was life-threatening. Binge drinking on a monthly basis (ORs=1.4) was associated with a medically serious overdose compared to never having an overdose. Compared to no drug use in the last year, use of one drug was associated with an OR of 1.8, two drugs was associated with an OR of 5.8, three drugs was associated with an OR of 8.4, and four or more drugs was associated with an OR of 25.1 of having had a medically serious overdose (all p<0.05).

CONCLUSIONS

Most overdose experiences among ED patients were without clear intent of self-harm. The ED may be an appropriate setting for efforts to reduce overdose risk, especially among polysubstance users.

Risks of fatal opioid overdose during the first year following nonfatal overdose

BACKGROUND

Little is known about risk factors for repeated opioid overdose and fatal opioid overdose in the first year following nonfatal opioid overdose.

METHODS

We identified a national retrospective longitudinal cohort of patients aged 18-64 years in the Medicaid program who received a clinical diagnosis of nonfatal opioid overdose. Repeated overdoses and fatal opioid overdoses were measured with the Medicaid record and the National Death Index. Rates of repeat overdose per 1000 person-years and fatal overdose per 100,000 person-years were determined. Hazard ratios of repeated opioid overdose and fatal opioid overdose were estimated by Cox proportional hazards.

RESULTS

Nearly two-thirds (64.8%) of the patients with nonfatal overdoses (total n = 75,556) had filled opioid prescriptions in the 180 days before initial overdose. During the 12 months after nonfatal overdose, the rate of repeat overdose was 295.0 per 1000 person-years and that of fatal opioid overdose was 1154 per 100,000 person-years. After controlling for age, sex, race/ethnicity, and region, the hazard of fatal opioid overdose was increased for patients who had filled a benzodiazepine prescription in the 180 days prior to their initial overdose (HR = 1.71, 95%CI: 1.46-1.99), whose initial overdose involved heroin (HR = 1.57, 95%CI:1.30-1.89), or who required mechanical ventilation at the initial overdose (HR = 1.86, 95%CI = 1.50-2.31).

CONCLUSIONS

Adults treated for opioid overdose frequently have repeated opioid overdoses in the following year. They are also at high risk of fatal opioid overdose throughout this period, which underscores the importance of efforts to engage and maintain patients in evidence-based opioid treatments following nonfatal overdose.

Factors Associated With County-Level Differences in U.S. Drug-Related Mortality Rates

INTRODUCTION

Over the past 2 decades, drug-related deaths have grown to be a major U.S. public health problem. County-level differences in drug-related mortality rates are large. The relative contributions of social determinants of health to this variation, including the economic, social, and healthcare environments, are unknown.

METHODS

Using data from the U.S. Centers for Disease Control and Prevention Multiple-Cause of Death Files (2006-2015, analyzed in 2017); U.S. Census Bureau; U.S. Department of Agriculture Economic Research Service; Agency for Healthcare Research and Quality; and Northeast Regional Center for Rural Development, this paper modeled associations between county-level drug-related mortality rates and economic, social, and healthcare environments. Spatial autoregressive models controlled for state fixed effects and county demographic characteristics.

RESULTS

The average county-level age-adjusted drug-related mortality rate was 16.6 deaths per 100,000 population (2006-2015), but there were substantial geographic disparities in rates. Controlling for county demographic characteristics, average mortality rates were significantly higher in counties with greater economic and family distress and in counties economically dependent on mining. Average mortality rates were significantly lower in counties with a larger presence of religious establishments, a greater percentage of recent in-migrants, and counties with economies reliant on public (government) sector employment. Healthcare supply factors did not contribute to between-county disparities in mortality rates.

CONCLUSIONS

Drug-related mortality rates are not randomly distributed across the U.S. Future research should consider the specific pathways through which economic, social, and healthcare environments are associated with drug-related mortality.

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.

A cross-national analysis of the association between years of implementation of opioid substitution treatments and drug-related deaths in Europe from 1995 to 2013

Data at the individual-level provide evidence that opioid substitution treatment (OST) programs protect against mortality for opioid dependent populations. Prior research has not examined the merits of national implementation of opioid substitution programs for reducing mortality at the country-level. This study elucidates longitudinal associations between country-level implementation of opioid substitution treatment programs on mortality rates of drug related deaths (DRD) from 1995 to 2013 in 30 European nations. Cases of DRD were measured using National Definitions for each country from official sources of data. Preliminary analysis of dispersion of cases of DRD using means and variances justified use of the negative binomial regression model with a population offset. Year and country-level fixed effects negative binomial regression models investigated the association between years of implementation of methadone maintenance therapy (MMT), OST in prison, and high dose buprenorphine treatment (HDBT) implementation and mortality rates from drug related deaths after adjusting for unemployment rates, heroin seizures and per capita expenditures on health. Beta coefficients were converted to Incidence Rate Ratios (IRR) and standard errors bootstrapped using non-parametric methods to adjust for bias (SD_bs). The mean mortality rate of DRD was 1.81 from 1995 to 2013. In adjusted models, each additional year of MMT (IRR = .61, SD = .04, p < .001; SD_bs = .08, p < .001), prison OST (IRR = .90, SD = .01, p < .001; SD_bs = .02, p < .001), and HDBT (IRR = .09, SD = .02, p < .001; SD_bs = .02, p < .01) was significantly associated with lower rates of DRDs after adjusting for country and year fixed effects. Implementation of OST programs in the general population and in prison settings may have protected against mortality from drug use at the country-level in Europe from 1995 to 2013.

Opioid-Involved Overdose Among Male Afghanistan/Iraq-Era U.S. Military Veterans: A Multidimensional Perspective

BACKGROUND

Mirroring nationwide trends in a broad range of U.S. populations, an alarming number of Afghanistan/Iraq-era U.S. Military veterans have experienced opioid-related overdoses. A growing body of research has examined the proximal behaviors that can precipitate an overdose; considerably less is known about more distal physiological, psychosocial and structural influences on these risk behaviors.

OBJECTIVES

This study adopts a multidimensional approach to better understand opioid-related overdose among U.S. Military veterans, and seeks to explore not only the proximal behavioral precipitants of overdose events, but also the complex nexus of physiological, psychological, and sociological influences that undergird overdose events.

METHODS

This qualitative examination is based on interview data from 36 male veterans who were discharged from the military after September 2001 and experienced at least one opioid-related overdose during or after military service. Participants were recruited in New York City during 2014 to share narrative accounts of their overdoses.

RESULTS

Veterans' accounts indicate that background experiences, such as self-medication for social and psychological pain, trauma, social alienation and isolation, and histories of illicit drug use, precondition the more immediate factors and behaviors that precipitate overdose (including bingeing on drugs, mixing drugs, naiveté about dosage, and ambivalence about life/death).

CONCLUSIONS

Findings suggest the need for comprehensive drug safety and overdose education that is sensitive to veterans' physiological, psychological, and sociological conditions. A multidimensional understanding of the distal and proximal overdose risks faced by veterans and other vulnerable groups may help lay a foundation for more inclusive/holistic approaches to overdose prevention and education.

Mobile Technology to Increase HIV/HCV Testing and Overdose Prevention/Response among People Who Inject Drugs

The United States faces dramatically increasing rates of opioid overdose deaths, as well as persistent ongoing problems of undiagnosed HIV and HCV infection. These problems commonly occur together in substance using populations that have limited, if any, access to primary care and other routine health services. To collectively address all three issues, we developed the Mobile Intervention Kit (MIK), a tablet computer-based intervention designed to provide overdose prevention and response training and to facilitate HIV/HCV testing in community settings. Intervention content was produced in collaboration with experienced street outreach workers who appear onscreen in a series of educational videos. A preliminary pilot test of the MIK in a Bronx, NY street outreach syringe exchange program found the MIK is feasible and highly acceptable to a population of people who inject drugs. Participants accepted HIV and HCV testing post-intervention, as well as naloxone training to reverse overdose events. Pre-post tests also showed significant increases in knowledge of overdose prevention, HIV testing procedures, and asymptomatic HCV infection. Future iterations of the MIK can be optimized for use in community as well as clinical settings nationwide, and perhaps globally, with a focus on underserved urban populations.

Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA)

PURPOSE

Overview of geographically explicit momentary assessment research, applied to the study of mental health and well-being, which allows for cross-validation, extension, and enrichment of research on place and health.

METHODS

Building on the historical foundations of both ecological momentary assessment and geographic momentary assessment research, this review explores their emerging synergy into a more generalized and powerful research framework.

RESULTS

Geographically explicit momentary assessment methods are rapidly advancing across a number of complimentary literatures that intersect but have not yet converged. Key contributions from these areas reveal tremendous potential for transdisciplinary and translational science.

CONCLUSIONS

Mobile communication devices are revolutionizing research on mental health and well-being by physically linking momentary experience sampling to objective measures of socio-ecological context in time and place. Methodological standards are not well-established and will be required for transdisciplinary collaboration and scientific inference moving forward.

Opioid overdose prevention through pharmacy-based naloxone prescription program: Innovations in health care delivery

BACKGROUND

Given that opioid misuse/abuse and opioid overdose have reached epidemic proportions in the United States, expansion of naloxone access programs are desperately needed. The objective of this study was to describe emerging trends in naloxone rescue kit (NRK) prescription patterns by pharmacists in New Mexico as an example of a unique health care delivery system.

METHODS

The study presents cross-sectional analysis of the data on NRK prescriptions by pharmacists who received naloxone pharmacist prescriptive authority certification since 2013. Data were obtained from the Prevention of Opioid Overdose by New Mexico Pharmacists (POINt-Rx) Registry, maintained by the University of New Mexico and the New Mexico Pharmacists Association.

RESULTS

Since 2013, 133 NRKs prescribed by pharmacists have been reported to the POINt-Rx Registry. The mean age of the patients was 41.5 ± 12.0 years (range: 19-67 years), and 60.2% were female participants. Only 11.3% of the prescriptions were from pharmacists practicing in rural/mixed urban-rural areas. The majority of NRKs (89.5%) were first-time prescriptions. The most common reason for a NRK prescription was patient's request (56.4%), followed by a pharmacist's prescription of NRK due to high dose of prescription opioids (28.6%) and history of opioid misuse/abuse (15.0%). In addition to opioids, other frequently reported substances included alcohol (9.2%) and benzodiazepines (10.8%). More than a third of patients (38.5%) reported polysubstance use in the previous 72 hours.

CONCLUSIONS

These results indicate that patients at risk of opioid overdose might feel comfortable soliciting NRKs from a pharmacist. Participation of pharmacists in rural areas in the naloxone prescriptive authority highlight the opportunity for this novel health care delivery model in underserved areas; however, the program is clearly underutilized in these areas. Such a model can provide expanded patient access in community practices, whereas systematic efforts for uptake of the program by policy makers, communities, and pharmacists continue to be needed nationwide.

Neighborhood-Level and Spatial Characteristics Associated with Lay Naloxone Reversal Events and Opioid Overdose Deaths

There were over 23,000 opioid overdose deaths in the USA in 2013, and opioid-related mortality is increasing. Increased access to naloxone, particularly through community-based lay naloxone distribution, is a widely supported strategy to reduce opioid overdose mortality; however, little is known about the ecological and spatial patterns of the distribution and utilization of lay naloxone. This study aims to investigate the neighborhood-level correlates and spatial relationships of lay naloxone distribution and utilization and opioid overdose deaths. We determined the locations of lay naloxone distribution sites and the number of unintentional opioid overdose deaths and reported reversal events in San Francisco census tracts (n = 195) from 2010 to 2012. We used Wilcoxon rank-sum tests to compare census tract characteristics across tracts adjacent and not adjacent to distribution sites and multivariable negative binomial regression models to assess the association between census tract characteristics, including distance to the nearest site, and counts of opioid overdose deaths and naloxone reversal events. Three hundred forty-two opioid overdose deaths and 316 overdose reversals with valid location data were included in our analysis. Census tracts including or adjacent to a distribution site had higher income inequality, lower percentage black or African American residents, more drug arrests, higher population density, more overdose deaths, and more reversal events (all p < 0.05). In multivariable analysis, greater distance to the nearest distribution site (up to a distance of 4000 m) was associated with a lower count of Naloxone reversals [incidence rate ratio (IRR) = 0.51 per 500 m increase, 95% CI 0.39-0.67, p < 0.001] but was not significantly associated with opioid overdose deaths. These findings affirm that locating lay naloxone distribution sites in areas with high levels of substance use and overdose risk facilitates reversals of opioid overdoses in those immediate areas but suggests that alternative delivery methods may be necessary to reach individuals in other areas with less concentrated risk.

Worldwide Prevalence and Trends in Unintentional Drug Overdose: A Systematic Review of the Literature

BACKGROUND

Drug overdose is an important, yet an inadequately understood, public health problem. Global attention to unintentional drug overdose has been limited by comparison with the scope of the problem. There has been a substantial increase in drug overdose incidence and prevalence in several countries worldwide over the past decade, contributing to both increased costs and mortality.

OBJECTIVES

The aim of this study was to systematically synthesize the peer-reviewed literature to document the global epidemiological profile of unintentional drug overdoses and the prevalence, time trends, mortality rates, and correlates of drug overdoses. We searched different combinations of Medical Subject Headings (MeSH) terms in PubMed for articles published from 1980 until July 2013, and we organized these results in tabular spreadsheets and compared them. We restricted the search to English-language articles that deal with unintentional overdose, focusing on 1 or more of the following key constructs: prevalence, time trends, mortality rates, and correlates. The term "overdose" as a MeSH major topic yielded 1076 publications. In addition, we searched the following combinations of nonmajor MeSH terms: "street drugs" and "overdose" yielded 180, "death" and "overdose" yielded 114, and "poisoning" and "drug users" yielded 17. There was some overlap among the searches. Based on the search and inclusion and exclusion criteria, we selected a total of 169 relevant articles for this article based on a close review of abstracts.

RESULTS

We found wide variability in lifetime prevalence of experiencing a nonfatal overdose or witnessing an overdose, and in mortality rates attributable to overdose. Lifetime prevalence of witnessed overdose among drug users (n = 17 samples) ranged from 50% to 96%, with a mean of 73.3%, a median of 70%, and a standard deviation of 14.1%. Lifetime prevalence of drug users personally experiencing a nonfatal overdose (n = 27 samples), ranged from 16.6% to 68.0% with a mean of 45.4%, a median of 47%, and a standard deviation of 14.4%. Population-based crude overdose mortality rates (n = 28 samples) ranged from 0.04 to 46.6 per 100 000 person-years. This range is likely attributable to the diversity in regions, time periods, and samples. Most studies on longitudinal trends of overdose death rates or overdose-related hospitalization rates showed increases in overdose death rates and in overdose-related hospitalization rates across time, which have led to peaks in these rates at the present time. An overall trend of increasing deaths from prescription opioid use and decreasing deaths from illicit drug use in the past several years has been noted across most of the literature. With the increase in prescription opioid overdose deaths, drug overdose is not just an urban problem: rural areas have seen an important increase in overdose deaths. Lastly, cocaine, prescription opioids, and heroin are the drugs most commonly associated with unintentional drug overdoses worldwide and the demographic and psychiatric correlates associated with unintentional drug overdoses are similar globally.

CONCLUSIONS

There is a need to invest in research to understand the distinct determinants of prescription drug overdose worldwide. Several other countries need to collect in a systematic and continuous fashion such data on sales of prescription opioids and other prescription drugs, nonmedical use of prescription drugs, and hospitalization secondary to overdoses on prescription drugs. The sparse evidence on the environmental determinants of overdose suggests a need for research that will inform the types of environmental interventions we can use to prevent drug overdose. Methodological issues for future studies include enhancing data collection methods on unintentional fatal and nonfatal overdoses, and collecting more detailed information on drug use history, source of drug use (for prescription drugs), and demographic and psychiatric history characteristics of the individual who overdosed.

Social and economic inequalities in fatal opioid and cocaine related overdoses in Luxembourg: a case-control study

BACKGROUND

To investigate social and economic inequalities in fatal overdose cases related to opioid and cocaine use, recorded in Luxembourg between 1994 and 2011.

METHODS

Cross-examination of national data from law enforcement and drug use surveillance sources and of forensic evidence in a nested case-control study design. Overdose cases were individually matched with four controls, when available, according to sex, year of birth, drug administration route and duration of drug use. 272 cases vs 1056 controls were analysed. Conditional logistic regression analysis was performed to assess the respective impact of a series of socioeconomic variables.

RESULTS

Being professionally active [OR=0.66 (95% CI 0.45-0.99)], reporting salary as main legal income source [OR=0.42 (95% CI 0.26-0.67)] and education attainment higher than primary school [OR=0.50 (95% CI 0.34-0.73)] revealed to be protective factors, whereas the professional status of the father or legal guardian of victims was not significantly associated to fatal overdoses.

CONCLUSIONS

Socioeconomic inequalities in drug users impact on the occurrence of fatal overdoses. Compared to their peers, users of illicit drugs with lower socioeconomic profiles show increased odds of dying from overdose. However, actual and self-referred socioeconomic characteristics of drug users, such as educational attainment and employment, may have a greater predictive value of overdose mortality than the parental socioeconomic status. Education, vocational training and socio-professional reintegration should be part of drug-related mortality prevention policies.

Understanding the rural-urban differences in nonmedical prescription opioid use and abuse in the United States

Nonmedical prescription opioid misuse remains a growing public problem in need of action and is concentrated in areas of US states with large rural populations such as Kentucky, West Virginia, Alaska, and Oklahoma. We developed hypotheses regarding the influence of 4 factors: (1) greater opioid prescription in rural areas, creating availability from which illegal markets can arise; (2) an out-migration of young adults; (3) greater rural social and kinship network connections, which may facilitate drug diversion and distribution; and (4) economic stressors that may create vulnerability to drug use more generally. A systematic consideration of the contexts that create differences in availability, access, and preferences is critical to understanding how drug use context varies across geography.

Revisiting the role of the urban environment in substance use: the case of analgesic overdose fatalities

OBJECTIVES

We examined whether neighborhood social characteristics (income distribution and family fragmentation) and physical characteristics (clean sidewalks and dilapidated housing) were associated with the risk of fatalities caused by analgesic overdose.

METHODS

In a case-control study, we compared 447 unintentional analgesic opioid overdose fatalities (cases) with 3436 unintentional nonoverdose fatalities and 2530 heroin overdose fatalities (controls) occurring in 59 New York City neighborhoods between 2000 and 2006.

RESULTS

Analgesic overdose fatalities were less likely than nonoverdose unintentional fatalities to have occurred in higher-income neighborhoods (odds ratio [OR] = 0.82; 95% confidence interval [CI] = 0.70, 0.96) and more likely to have occurred in fragmented neighborhoods (OR = 1.35; 95% CI = 1.05, 1.72). They were more likely than heroin overdose fatalities to have occurred in higher-income (OR = 1.31; 95% CI = 1.12, 1.54) and less fragmented (OR = 0.71; 95% CI = 0.55, 0.92) neighborhoods.

CONCLUSIONS

Analgesic overdose fatalities exhibit spatial patterns that are distinct from those of heroin and nonoverdose unintentional fatalities. Whereas analgesic fatalities typically occur in lower-income, more fragmented neighborhoods than nonoverdose fatalities, they tend to occur in higher-income, less unequal, and less fragmented neighborhoods than heroin fatalities.

Opioid and other substance misuse, overdose risk, and the potential for prevention among a sample of OEF/OIF veterans in New York City

This paper describes veterans' overdose risks and specific vulnerabilities through an analysis of qualitative data collected from a sample of recently separated, formerly enlisted OEF/OIF veterans in the New York City area. We illustrate how challenges to the civilian readjustment process such as homelessness, unemployment, and posttraumatic stress disorder can render veterans at increased risk for negative health consequences and then present veterans' perspectives as they outline several innovative solutions to these obstacles. We conclude by discussing several overdose prevention efforts currently underway and how they might be adapted to meet the opioid and substance misuse challenges veterans face.

Racial/ethnic differences in alcohol-related suicide: a call for focus on unraveling paradoxes and understanding structural forces that shape alcohol-related health

A substantial proportion of injuries worldwide are attributable to alcohol consumption, and US estimates indicate that the drinking patterns of racial/ethnic groups vary considerably. The authors reviewed evidence from 19 publications regarding racial/ethnic differences in overall alcohol-attributable injury as well as percent blood alcohol content positivity for injury deaths in the United States. They found that Native Americans evidence higher rates of alcohol-attributable motor vehicle crash fatality, suicide, and falls compared with other racial/ethnic groups; conversely, Asians evidence lower rates of alcohol-attributable injury than other racial/ethnic groups. The rate of alcohol positivity and intoxication among Hispanics is disproportionately high relative to estimates of alcohol use. Black subgroups also evidence higher rates of alcohol positivity than would be expected given estimates of alcohol use, including for alcohol positivity among drivers of fatally injured black children and homicide. These findings highlight the continued need for public health focus on Native American populations with respect to alcohol consumption and injury. Further, the disparity in alcohol-attributable injury mortality among black and Hispanic groups relative to their reported rates of alcohol consumption is an overlooked area of research. The authors review potential social determinants of racial/ethnic disparities in alcohol-attributable injuries and identify directions for further research on these patterns.

Metropolitan social environments and pre-HAART/HAART era changes in mortality rates (per 10,000 adult residents) among injection drug users living with AIDS

Background

Among the largest US metropolitan areas, trends in mortality rates for injection drug users (IDUs) with AIDS vary substantially. Ecosocial, risk environment and dialectical theories suggest many metropolitan areas characteristics that might drive this variation. We assess metropolitan area characteristics associated with decline in mortality rates among IDUs living with AIDS (per 10,000 adult MSA residents) after highly active antiretroviral therapy (HAART) was developed.

Methods

This is an ecological cohort study of 86 large US metropolitan areas from 1993–2006. The proportional rate of decline in mortality among IDUs diagnosed with AIDS (as a proportion of adult residents) from 1993–1995 to 2004–2006 was the outcome of interest. This rate of decline was modeled as a function of MSA-level variables suggested by ecosocial, risk environment and dialectical theories. In multiple regression analyses, we used 1993–1995 mortality rates to (partially) control for pre-HAART epidemic history and study how other independent variables affected the outcomes.

Results

In multivariable models, pre-HAART to HAART era increases in ‘hard drug’ arrest rates and higher pre-HAART income inequality were associated with lower relative declines in mortality rates. Pre-HAART per capita health expenditure and drug abuse treatment rates, and pre- to HAART-era increases in HIV counseling and testing rates, were weakly associated with greater decline in AIDS mortality.

Conclusions

Mortality among IDUs living with AIDS might be decreased by reducing metropolitan income inequality, increasing public health expenditures, and perhaps increasing drug abuse treatment and HIV testing services. Given prior evidence that drug-related arrest rates are associated with higher HIV prevalence rates among IDUs and do not seem to decrease IDU population prevalence, changes in laws and policing practices to reduce such arrests while still protecting public order should be considered.

The role of race/ethnicity in alcohol-attributable injury in the United States

A substantial proportion of injuries worldwide are attributable to alcohol consumption, and US estimates indicate that the drinking patterns of racial/ethnic groups vary considerably. The authors reviewed evidence from 19 publications regarding racial/ethnic differences in overall alcohol-attributable injury as well as percent blood alcohol content positivity for injury deaths in the United States. They found that Native Americans evidence higher rates of alcohol-attributable motor vehicle crash fatality, suicide, and falls compared with other racial/ethnic groups; conversely, Asians evidence lower rates of alcohol-attributable injury than other racial/ethnic groups. The rate of alcohol positivity and intoxication among Hispanics is disproportionately high relative to estimates of alcohol use. Black subgroups also evidence higher rates of alcohol positivity than would be expected given estimates of alcohol use, including for alcohol positivity among drivers of fatally injured black children and homicide. These findings highlight the continued need for public health focus on Native American populations with respect to alcohol consumption and injury. Further, the disparity in alcohol-attributable injury mortality among black and Hispanic groups relative to their reported rates of alcohol consumption is an overlooked area of research. The authors review potential social determinants of racial/ethnic disparities in alcohol-attributable injuries and identify directions for further research on these patterns.

Policing and risk of overdose mortality in urban neighborhoods

BACKGROUND

Accidental drug overdose is a major cause of mortality among drug users. Fears of police arrest may deter witnesses of drug overdose from calling for medical help and may be a determinant of drug overdose mortality. To our knowledge, no studies have empirically assessed the relation between levels of policing and drug overdose mortality. We hypothesized that levels of police activity, congruent with fears of police arrest, are positively associated with drug overdose mortality.

METHODS

We assembled cross-sectional time-series data for 74 New York City (NYC) police precincts over the period 1990-1999 using data collected from the Office of the Chief Medical Examiner of NYC, the NYC Police Department, and the US Census Bureau. Misdemeanor arrest rate-reflecting police activity-was our primary independent variable of interest, and overdose rate our primary dependent variable of interest.

RESULTS

The mean overdose rate per 100,000 among police precincts in NYC between 1990 and 1999 was 10.8 (standard deviation=10.0). In a Bayesian hierarchical model that included random spatial and temporal effects and a space-time interaction, the misdemeanor arrest rate per 1000 was associated with higher overdose mortality (posterior median=0.003, 95% credible interval=0.001, 0.005) after adjustment for overall drug use in the precinct and demographic characteristics.

CONCLUSIONS

Levels of police activity in a precinct are associated with accidental drug overdose mortality. Future research should examine aspects of police-community interactions that contribute to higher overdose mortality.

Neighborhood poverty and injection cessation in a sample of injection drug users

Neighborhood socioeconomic environment may be a determinant of injection drug use cessation. The authors used data from a prospective cohort study of Baltimore City, Maryland, injection drug users assessed between 1990 and 2006. The study examined the relation between living in a poorer neighborhood and the probability of injection cessation among active injectors, independent of individual characteristics and while respecting the temporality of potential confounders, exposure, and outcome. Participants' residences were geocoded, and the crude, adjusted, and inverse probability of exposure weighted associations between neighborhood poverty and injection drug use cessation were estimated. Weighted models showed a strong association between neighborhood poverty and injection drug use cessation; living in a neighborhood with fewer than 10%, compared with more than 30%, of residents in poverty was associated with a 44% increased odds of not injecting in the prior 6 months (odds ratio = 1.44, 95% confidence interval: 1.14, 1.82). Results show that neighborhood environment may be an important determinant of drug injection behavior independent of individual-level characteristics.

Neighborhood smoking norms modify the relation between collective efficacy and smoking behavior

BACKGROUND

Although neighborhoods with more collective efficacy have better health in general, recent work suggests that social norms and collective efficacy may in combination influence health behaviors such as smoking.

METHODS

Using data from the New York Social Environment Study (conducted in 2005; n=4000), we examined the separate and combined associations of neighborhood collective efficacy and anti-smoking norms with individual smoking. The outcome was current smoking, assessed using the World Mental Health Comprehensive International Diagnostic Interview (WMH-CIDI) tobacco module. Exposures of interest were neighborhood collective efficacy, measured as the average neighborhood response on a well-established scale, and neighborhood anti-smoking norms, measured as the proportion of residents who believed regular smoking was unacceptable. All analyses adjusted for demographic and socioeconomic characteristics, as well as history of smoking prior to residence in the current neighborhood, individual perception of smoking level in the neighborhood, individual perception of collective efficacy, and individual smoking norms.

RESULTS

In separate generalized estimating equation logistic regression models, neighborhood collective efficacy was not associated with smoking (OR 1.06, 95% CI 0.84-1.34) but permissive neighborhood smoking norms were associated with more smoking (OR 1.34, 95% CI 1.03-1.74), particularly among residents with no prior history of smoking (OR 2.88, 95% CI 1.92-4.30). When considered in combination, where smoking norms were permissive, higher collective efficacy was associated with more smoking; in contrast, where norms were strongly anti-smoking, higher collective efficacy was associated with less smoking.

CONCLUSIONS

Features of the neighborhood social environment may need to be considered in combinations to understand their role in shaping health and health behavior.