Drug overdoses, geographic trajectories, and the influence of built environment and neighborhood characteristics

Drug Overdose Death among Residents of Urban Census Tracts: How Granular Geographical Analyses Uncover Socioenvironmental Correlates in Cuyahoga County, Ohio

Geostatistical data aggregated at state, county, municipality, or ZIP code levels often are utilized for assessing drug overdose epidemic impact and planning resource distribution. Data aggregated at these levels may obscure critical disparities among populations experiencing high rates of drug-related mortality (DRM), especially in densely populated urban areas. Our research was centered on Cuyahoga County (Cleveland), OH, which ranks 15th in the USA for drug-related mortality. This study built on recent efforts that adopted a finer geographical lens by examining DRM rates at the census tract level. Our investigation used Cuyahoga County census tracts with high and low DRM rates and compared them with Cuyahoga County census tracts with high and low levels of opportunity as developed by a publicly available, statewide opportunity index. Analyzing DRM data from 2014 to 2022, we found that the odds of an individual experiencing DRM in low-opportunity areas were quadruple the odds for someone in high-opportunity zones. Our findings highlight the critical need for more granular geographic analysis in urban areas, where heterogenous socioenvironmental conditions appear to correlate with significant heterogeneity in the ways in which residents experience the risk of dying from a drug overdose. By focusing on smaller areas, this approach provides a clearer understanding of the DRM landscape that could facilitate the prioritization of more targeted, culturally centered, public health interventions.

Looking into the black mirror of the overdose crisis: Assessing the harms of collaborative surveillance technologies in the United States response

Drug overdose is a leading cause of death among adults in the United States, prompting calls for more surveillance data and data sharing across public health and law enforcement to address the crisis. This paper integrates Black feminist science and technology studies (STS) into an anthropological analysis of the collision of public health, policing, and technology as embedded in the US National Overdose Response Strategy and its technological innovation, the Overdose Detection Mapping Application Program (ODMAP). The dystopian Netflix series "Black Mirror," which explores the seemingly useful but quietly destructive potential of technology, offers a lens through which to speculate upon and anticipate the harms of collaborative surveillance projects. Ultimately, I ask: are such technological interventions a benevolent approach to a public health crisis or are we looking into a black mirror of racialized surveillance and criminalization of overdose in the United States?

Naloxone administration and survival in overdoses involving opioids and stimulants: An analysis of law enforcement data from 63 Pennsylvania counties

BACKGROUND

In consideration of rising opioid-stimulant deaths in the United States, this study explored rates of naloxone administration and survival in suspected opioid overdoses with, versus without, stimulants co-involved.

METHODS

The study analyzed 26,635 suspected opioid-involved overdoses recorded by law enforcement/first-responders in the Pennsylvania Overdose Information Network in 63 Pennsylvania counties, January 2018-July 2024. All measures, including suspected drug involvement, were based on first-responder assessment/report. Relative frequencies and chi-square tests were first used to compare suspected opioid overdoses with, versus without, stimulants (cocaine or methamphetamine) co-involved. Next, mediation analyses tested naloxone administration as a mediator in the association between stimulant co-involvement (in opioid overdoses) and survival.

RESULTS

Naloxone was reportedly administered in 72.2 % of the suspected opioid-no-cocaine overdoses, compared to 55.1 % of the opioid-cocaine-involved overdoses, and 72.1 % of the opioid-no-methamphetamine overdoses vs. 52.4 % of the opioid-methamphetamine-involved overdoses. With respect to survival rates, 18.0 % of the suspected opioid-no-cocaine overdoses ended in death, compared to 41.3 % of the opioid-cocaine overdoses; 18.1 % of the opioid-no-methamphetamine overdoses ended in death, versus 42.9 % of the opioid-methamphetamine overdoses. In mediation analyses (adjusted for demographics, county, year, and other drug co-involvement), naloxone administration mediated 38.7 % (95 % Confidence Interval [CI], 31.3-46.0 %) of the association between suspected cocaine co-involvement and survival and 39.2 % (95 % CI, 31.3-47.1 %) of the association between suspected methamphetamine co-involvement and survival.

CONCLUSIONS

Among suspected opioid overdoses recorded in the Pennsylvania Overdose Information Network, stimulant co-involvement was associated with lower naloxone administration and higher fatality, with naloxone partially mediating the association between stimulant co-involvement and death.

A place-based spatial analysis of racial inequities in overdose in St. Louis County Missouri, United States

OBJECTIVE

The objective of this study was to identify place features associated with increased risk of drug-involved fatalities and generate a composite score measuring risk based on the combined effects of features of the built environment.

METHODS

We conducted a geospatial analysis of overdose data from 2022 to 2023 provided by the St. Louis County Medical Examiner's Office to test whether drug-involved deaths were more likely to occur near 54 different place features using Risk Terrain Modeling (RTM). RTM was used to identify features of the built environment that create settings of heightened overdose risk. Risk was estimated using Relative Risk Values (RRVs) and a composite score measuring Relative Risk Scores (RRS) across the county was produced for drugs, opioids, and stimulants, as well as by Black and White decedents.

RESULTS

In the model including all drugs, deaths were more likely to occur in close proximity to hotels/motels (RRV=39.65, SE=0.34, t-value=10.81 p<.001), foreclosures (RRV=4.42, SE=0.12, t-value = 12.80, p<.001), police departments (RRV=3.13, SE=0.24, t-score=4.86, p<.001), and restaurants (RRV=2.33, SE=0.12, t-value=7.16, p<.001). For Black decedents, deaths were more likely to occur near foreclosures (RRV=9.01, SE=0.18, t-value =11.92, p<.001), and places of worship (RRV= 2.51, SE=0.18, t-value = 11.92, p<.001). For White decedents, deaths were more likely to occur in close proximity to hotels/motels (RRV=38.97, SE=0.39, t-value=9.30, p<.001) foreclosures (RRV=2.57, SE=0.16, t-value =5.84, p<.001), restaurants (RRV=2.52, SE=0.17, t-value=5.33, p<.001) and, auto painting/repair shops (RRV=0.04, SE=0.18, t-value =3.39, p<.001).

CONCLUSION

These findings suggest that places of worship, the hospitality industry, and housing authorities may be physical features of the environment that reflect social conditions that are conducive to overdose. The scaling up of harm reduction strategies could be enhanced by targeting places where features are co-located.

Carjacking and homicide in Minneapolis after the police killing of George Floyd: Evidence from an interrupted time series analysis

There is abundant research showing the disproportionate impacts of violence on health in disadvantaged neighborhoods, making an understanding of recent violent crime trends essential for promoting health equity. Carjackings have been of particular interest in the media, although little research has been undertaken on this violent crime. We use interrupted time series models to examine the impact of the police killing of George Floyd on the spatiotemporal patterns of carjacking in Minneapolis in relation to neighborhood disadvantage. To provide grounding, we compare our results to the well-studied patterns of homicides. Results indicate that carjackings both increased and dispersed spatially after the murder of George Floyd and subsequent social unrest, more so than homicides. Socially disadvantaged neighborhoods experienced the greatest absolute increase while more advantaged neighborhoods saw a greater relative increase. The challenge ahead is to identify policy responses that will effectively curb such violence without resorting to harsh and inequitable policing and sentencing practices.

Intersection of adverse childhood experiences, suicide and overdose prevention

Adverse childhood experiences (ACEs), suicide and overdose are linked across the life course and across generations and share common individual-, interpersonal-, community- and societal-level risk factors. The purpose of this review is to summarise the shared aetiology of these public health issues, synthesise evidence regarding potential community- and societal-level prevention strategies and discuss future research and practice directions.Growing evidence shows the potential for community- and societal-level programmes and policies, including higher minimum wage; expanded Medicaid eligibility; increased earned income tax credits, child tax credits and temporary assistance for needy families benefits; Paid Family Leave; greater availability of affordable housing and rental assistance; and increased participation in the Supplemental Nutrition Assistance Program (SNAP), to contribute to ACEs, suicide and overdose prevention. Considerations for future prevention efforts include (1) expanding the evidence base through rigorous research and evaluation; (2) assessing the implications of prevention strategies for equity; (3) incorporating a relational health perspective; (4) enhancing community capacity to implement, scale and sustain evidenced-informed prevention strategies; and (5) acknowledging that community- and societal-level prevention strategies are longer-term strategies.

"The machine doesn't judge": Counternarratives on surveillance among people accessing a safer opioid supply via biometric machines

People who use illegal drugs experience routine surveillance, including in healthcare and harm reduction settings. The MySafe Project - a safer supply pilot project that dispenses prescription opioids via a biometric vending machine - exists in the Canadian province of British Columbia. The machine scans a participant's palmprint and has a built-in camera that records every machine interaction. The aim of this paper is to understand participants' experiences of surveillance, privacy, and personal security when accessing this novel program. An integrative case study and grounded theory methodology was employed. Qualitative one-to-one interviews were conducted with 46 MySafe participants across three different program sites in Vancouver. We used a team-based approach to code interview transcripts and utilized directed and conventional content analyses for deductive and inductive analyses. While participants described negative experiences of surveillance in other public and harm reduction settings, they did not have concerns regarding cameras, collection of personal information, tracking, nor staff issues associated with MySafe. Similarly, while some participants had privacy concerns in other settings, very few privacy and confidentiality concerns were expressed regarding accessing the machine in front of others. Lastly, while some participants reported being targeted by others when accessing the machines, most participants described how cameras, staff, and machine locations helped ensure a sense of safety. Despite negative experiences of surveillance and privacy issues elsewhere, participants largely lacked concern regarding the MySafe program and machines. The machine-human interaction was characterized as different than some human-human interactions as the machine is completing tasks in a manner that is acceptable and comfortable to participants, leading to a social preference toward the machines in comparison to other surveilled means of accessing medications. These findings provide an opportunity to rethink how we conceptualize surveillance, medication access, and harm reduction programs targeting people who use drugs.

Geographically specific associations between county-level socioeconomic and household distress and mortality from drug poisoning, suicide, alcohol, and homicide among working-age adults in the United States

Background

Mortality rates from drug poisoning, suicide, alcohol, and homicide vary significantly across the United States. This study explores localized relationships (i.e., geographically specific associations) between county-level economic and household distress and mortality rates from these causes among working-age adults (25-64).

Methods

Mortality data were from the National Vital Statistics System for 2014-2019. County-level socioeconomic distress (poverty, employment, income, education, disability, insurance) and household distress (single-parent, no vehicle, crowded housing, renter occupied) were from the 2009-2013 American Community Survey. We conducted Ordinary Least Squares (OLS) regression to estimate average associations and Geographically Weighted Regression (GWR) to estimate localized spatial associations between county-level distress and working-age mortality.

Results

In terms of national average associations, OLS results indicate that a one standard deviation increase in socioeconomic distress was associated with an average of 6.1 additional drug poisoning deaths, 3.0 suicides, 2.1 alcohol-induced deaths, and 2.0 homicides per 100,000 population. A one standard deviation increase in household distress was associated with an average of 1.4 additional drug poisonings, 4.7 alcohol-induced deaths, and 1.1 homicides per 100,000 population. However, the GWR results showed that these associations vary substantially across the U.S., with socioeconomic and household distress associated with significantly higher mortality rates in some parts of the U.S than others, significantly lower rates in other parts of the U.S., and no significant associations in others. There were also some areas where distress overlapped to influence multiple causes of death, in a type of compounded disadvantage.

Conclusions

Socioeconomic and household distress are significant and substantial predictors of higher rates of drug poisoning mortality, suicide, alcohol-induced deaths, and homicide in specific regions of the U.S. However, these associations are not universal. Understanding the place-level factors that contribute to them can inform geographically tailored strategies to reduce rates from these preventable causes of death in different places.