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

Benefits and challenges of geographic information systems (GIS) for data-driven outreach in black communities experiencing overdose disparities: results of a stakeholder focus group

BACKGROUND

Black individuals in the U.S. face increasing racial disparities in drug overdose related to social determinants of health, including place-based features. Mobile outreach efforts work to mitigate social determinants by servicing geographic areas with low drug treatment and overdose prevention access but are often limited by convenience-based targets. Geographic information systems (GIS) are often used to characterize and visualize the overdose crisis and could be translated to community to guide mobile outreach services. The current study examines the initial acceptability and appropriateness of GIS to facilitate data-driven outreach for reducing overdose inequities facing Black individuals.

METHODS

We convened a focus group of stakeholders (N = 8) in leadership roles at organizations conducting mobile outreach in predominantly Black neighborhoods of St. Louis, MO. Organizations represented provided adult mental health and substance use treatment or harm reduction services. Participants were prompted to discuss current outreach strategies and provided feedback on preliminary GIS-derived maps displaying regional overdose epidemiology. A reflexive approach to thematic analysis was used to extract themes.

RESULTS

Four themes were identified that contextualize the acceptability and utility of an overdose visualization tool to mobile service providers in Black communities. They were: 1) importance of considering broader community context; 2) potential for awareness, engagement, and community collaboration; 3) ensuring data relevance to the affected community; and 4) data manipulation and validity concerns.

CONCLUSIONS

There are several perceived benefits of using GIS to map overdose among mobile providers serving Black communities that are overburdened by the overdose crisis but under resourced. Perceived potential benefits included informing location-based targets for services as well as improving awareness of the overdose crisis and facilitating collaboration, advocacy, and resource allocation. However, as GIS-enabled visualization of drug overdose grows in science, public health, and community settings, stakeholders must consider concerns undermining community trust and benefits, particularly for Black communities facing historical inequities and ongoing disparities.

Risk factors for persistent fatal opioid-involved overdose clusters in Massachusetts 2011-2021: a spatial statistical analysis with socio-economic, accessibility, and prescription factors

BACKGROUND

Fatal opioid-involved overdose rates increased precipitously from 5.0 per 100,000 population to 33.5 in Massachusetts between 1999 and 2022.

METHODS

We used spatial rate smoothing techniques to identify persistent opioid overdose-involved fatality clusters at the ZIP Code Tabulation Area (ZCTA) level. Rate smoothing techniques were employed to identify locations of high fatal opioid overdose rates where population counts were low. In Massachusetts, this included areas with both sparse data and low population density. We used Local Indicators of Spatial Association (LISA) cluster analyses with the raw incidence rates, and the Empirical Bayes smoothed rates to identify clusters from 2011 to 2021. We also estimated Empirical Bayes LISA cluster estimates to identify clusters during the same period. We constructed measures of the socio-built environment and potentially inappropriate prescribing using principal components analysis. The resulting measures were used as covariates in Conditional Autoregressive Bayesian models that acknowledge spatial autocorrelation to predict both, if a ZCTA was part of an opioid-involved cluster for fatal overdose rates, as well as the number of times that it was part of a cluster of high incidence rates.

RESULTS

LISA clusters for smoothed data were able to identify whether a ZCTA was part of a opioid involved fatality incidence cluster earlier in the study period, when compared to LISA clusters based on raw rates. PCA helped in identifying unique socio-environmental factors, such as minoritized populations and poverty, potentially inappropriate prescribing, access to amenities, and rurality by combining socioeconomic, built environment and prescription variables that were highly correlated with each other. In all models except for those that used raw rates to estimate whether a ZCTA was part of a high fatality cluster, opioid overdose fatality clusters in Massachusetts had high percentages of Black and Hispanic residents, and households experiencing poverty. The models that were fitted on Empirical Bayes LISA identified this phenomenon earlier in the study period than the raw rate LISA. However, all the models identified minoritized populations and poverty as significant factors in predicting the persistence of a ZCTA being part of a high opioid overdose cluster during this time period.

CONCLUSION

Conducting spatially robust analyses may help inform policies to identify community-level risks for opioid-involved overdose deaths sooner than depending on raw incidence rates alone. The results can help inform policy makers and planners about locations of persistent risk.

Bystanders Saving Lives with Naloxone: A Scoping Review on Methods to Estimate Overdose Reversals

Introduction

People who use drugs in community settings are at risk of a fatal overdose, which can be mitigated by naloxone administered via bystanders. In this study we sought to investigate methods of estimating and tracking opioid overdose reversals by community members with take-home naloxone (THN) to coalesce possible ways of characterizing THN reach with a metric that is useful for guiding both distribution of naloxone and advocacy of its benefits.

Methods

We conducted a scoping review of published literature on PubMed on August 15, 2022, using PRISMA-ScR protocol, for articles discussing methods to estimate THN reversals in the community. The following search terms were used: naloxone AND ("take home" OR kit OR "community distribution" OR "naloxone distribution"). We used backwards citation searching to potentially find additional studies. Overdose education and naloxone distribution program-based studies that analyzed only single programs were excluded.

Results

The database search captured 614 studies, of which 14 studies were relevant. Backwards citation searching of 765 references did not reveal additional relevant studies. Of the 14 relevant studies, 11 were mathematical models. Ten used Markov models, and one used a system dynamics model. Of the remaining three articles, one was a meta-analysis, and two used spatial analysis. Studies ranged in year of publication from 2013-2022 with mathematical modeling increasing in use over time. Only spatial analysis was used with a focus on characterizing local naloxone use at the level of a specific city.

Conclusion

Of existing methods to estimate bystander administration of THN, mathematical models are most common, particularly Markov models. System dynamics modeling, meta-analysis, and spatial analysis have also been used. All methods are heavily dependent upon overdose education and naloxone distribution program data published in the literature or available as ongoing surveillance data. Overall, there is a paucity of literature describing methods of estimation and even fewer with methods applied to a local focus that would allow for more targeted distribution of naloxone.

Using drugs alone in single room occupancy housing: Understanding environmental drivers of overdose risk

BACKGROUND

Across North America most overdose deaths occur in housing, largely due to individuals using drugs alone. In cities, fatalities are disproportionately concentrated in low-income housing, including single room occupancy (SRO) housing. While research has highlighted how SROs operate as risk environments for various poor outcomes, there has been little attention to specific drug use practices (i.e., using alone) associated with overdose vulnerability in these spaces. This study explores how environmental contexts of SROs shape overdose risks, with specific attention to practices of using drugs alone.

METHODS

In-depth semi-structured interviews were conducted with 30 people who use drugs (PWUD) living in Vancouver SROs. Interviews covered topics such as social-structural environments of housing, drug use practices, and housing-based harm reduction. Thematic analysis drew on the intersectional risk environment framework.

RESULTS

Narratives positioned SROs as extensions of public space, with similar expectations of risks and behaviours as in public spaces. For some participants, using alone in their room was characterized as a practice in claiming privacy within the context of a public existence. Participants highlighted how certain features of SRO's social-structural environments were routinely leveraged against them (e.g., security cameras, staff surveillance), suggesting using alone as a tactic to minimize risks of hyper-surveillance and punitive policies. Further, participants discussed using alone as "safer," describing how this practice mitigated place-based risks of social-structural harms (e.g., violence, criminalization) in ways that eclipsed overdose risk.

CONCLUSION

Using drugs alone may be understood as a spatial negotiation of vulnerability to diverse harms produced by environmental contexts of SROs. Interventions accounting for broader contextual factors (e.g., improvements housing quality/quantity, providing a safer supply of drugs) that render using alone as instrumental to survival, and that reduce the implicit threat of punishment from intensive surveillance and control practices are critical to reduce vulnerability to overdose and other harms.

Developing medical simulations for opioid overdose response training: A qualitative analysis of narratives from responders to overdoses

Medical simulation offers a controlled environment for studying challenging clinical care situations that are difficult to observe directly. Overdose education and naloxone distribution (OEND) programs aim to train potential rescuers in responding to opioid overdoses, but assessing rescuer performance in real-life situations before emergency medical services arrive is exceedingly complex. There is an opportunity to incorporate individuals with firsthand experience in treating out-of-hospital overdoses into the development of simulation scenarios. Realistic overdose simulations could provide OEND programs with valuable tools to effectively teach hands-on skills and support context-sensitive training regimens. In this research, semi-structured interviews were conducted with 17 individuals experienced in responding to opioid overdoses including emergency department physicians, first responders, OEND program instructors, and peer recovery specialists. Two coders conducted qualitative content analysis using open and axial thematic coding to identify nuances associated with illicit and prescription opioid overdoses. The results are presented as narrative findings complemented by summaries of the frequency of themes across the interviews. Over 20 hours of audio recording were transcribed verbatim and then coded. During the open and axial thematic coding process several primary themes, along with subthemes, were identified, highlighting the distinctions between illicit and prescription opioid overdoses. Distinct contextual details, such as locations, clinical presentations, the environment surrounding the patient, and bystanders' behavior, were used to create four example simulations of out-of-hospital overdoses. The narrative findings in this qualitative study offer context-sensitive information for developing out-of-hospital overdose scenarios applicable to simulation training. These insights can serve as a valuable resource, aiding instructors and researchers in systematically creating evidence-based scenarios for both training and research purposes.

The role of mesolevel characteristics of the health care system and socioeconomic factors on health care use - results of a scoping review

BACKGROUND

Besides macrolevel characteristics of a health care system, mesolevel access characteristics can exert influence on socioeconomic inequalities in healthcare use. These reflect access to healthcare, which is shaped on a smaller scale than the national level, by the institutions and establishments of a health system that individuals interact with on a regular basis. This scoping review maps the existing evidence about the influence of mesolevel access characteristics and socioeconomic position on healthcare use. Furthermore, it summarizes the evidence on the interaction between mesolevel access characteristics and socioeconomic inequalities in healthcare use.

METHODS

We used the databases MEDLINE (PubMed), Web of Science, Scopus, and PsycINFO and followed the 'Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols extension for scoping reviews (PRISMA-ScR)' recommendations. The included quantitative studies used a measure of socioeconomic position, a mesolevel access characteristic, and a measure of individual healthcare utilisation. Studies published between 2000 and 2020 in high income countries were considered.

RESULTS

Of the 9501 potentially eligible manuscripts, 158 studies were included after a two-stage screening process. The included studies contained a wide spectrum of outcomes and were thus summarised to the overarching categories: use of preventive services, use of curative services, and potentially avoidable service use. Exemplary outcomes were screening uptake, physician visits and avoidable hospitalisations. Access variables included healthcare system characteristics such as physician density or distance to physician. The effects of socioeconomic position on healthcare use as well as of mesolevel access characteristics were investigated by most studies. The results show that socioeconomic and access factors play a crucial role in healthcare use. However, the interaction between socioeconomic position and mesolevel access characteristics is addressed in only few studies.

CONCLUSIONS

Socioeconomic position and mesolevel access characteristics are important when examining variation in healthcare use. Additionally, studies provide initial evidence that moderation effects exist between the two factors, although research on this topic is sparse. Further research is needed to investigate whether adapting access characteristics at the mesolevel can reduce socioeconomic inequity in health care use.

Overdose mortality incidence and supervised consumption services in Toronto, Canada: an ecological study and spatial analysis

BACKGROUND

Supervised consumption services (SCS) prevent overdose deaths onsite; however, less is known about their effect on population-level overdose mortality. We aimed to characterise overdose mortality in Toronto, ON, Canada, and to establish the spatial association between SCS locations and overdose mortality events.

METHODS

For this ecological study and spatial analysis, we compared crude overdose mortality rates before and after the implementation of nine SCS in Toronto in 2017. Data were obtained from the Office of the Chief Coroner of Ontario on cases of accidental death within the City of Toronto for which the cause of death involved the use of an opiate, synthetic or semi-synthetic opioid, or other psychoactive substance. We assessed overdose incident data for global spatial autocorrelation and local clustering, then used geographically weighted regression to model the association between SCS proximity and overdose mortality incidence in 2018 and 2019.

FINDINGS

We included 787 overdose mortality events in Toronto between May 1, 2017, and Dec 31, 2019. The overdose mortality rate decreased significantly in neighbourhoods that implemented SCS (8·10 deaths per 100 000 people for May 1-July 31, 2017, vs 2·70 deaths per 100 000 people for May 1-July 31, 2019; p=0·037), but not in other neighbourhoods. In a geographically weighted regression analysis that adjusted for the availability of substance-use-related services and overdose-related sociodemographic factors by neighbourhood, the strongest local regression coefficients of the association between SCS and overdose mortality location ranged from -0·60 to -0·64 per mile in 2018 and from -1·68 to -1·96 per mile in 2019, suggesting an inverse association.

INTERPRETATION

We found that the period during which SCS were implemented in Toronto was associated with a reduced overdose mortality in surrounding neighbourhoods. The magnitude of this inverse association increased from 2018 to 2019, equalling approximately two overdose fatalities per 100 000 people averted in the square mile surrounding SCS in 2019. Policy makers should consider implementing and sustaining SCS across neighbourhoods where overdose mortality is high.

FUNDING

The Canadian Institutes of Health Research.

Using alone at home: What's missing in housing-based responses to the overdose crisis?

BACKGROUND

Against the backdrop of North America's overdose crisis, most overdose deaths are occurring in housing environments, largely due to individuals using drugs alone. Overdose deaths in cities remain concentrated in marginal housing environments (e.g., single-room occupancy housing, shelters), which are often the only forms of housing available to urban poor and drug-using communities. This commentary aims to highlight current housing-based overdose prevention interventions and to situate them within the broader environmental contexts of marginal housing. In doing so, we call attention to the need to better understand marginal housing as sites of overdose vulnerability and public health intervention to optimize responses to the overdose crisis.

HARM REDUCTION AND OVERDOSE PREVENTION IN HOUSING

In response to high overdose rates in marginal housing environments several interventions (e.g., housing-based supervised consumption rooms, peer-witnessed injection) have recently been implemented in select jurisdictions. However, even with the growing recognition of marginal housing as a key intervention site, housing-based interventions have yet to be scaled up in a meaningful way. Further, there have been persistent challenges to tailoring these approaches to address dynamics within housing environments. Thus, while it is critical to expand coverage of housing-based interventions across marginal housing environments, these interventions must also attend to the contextual drivers of risks in these settings to best foster enabling environments for harm reduction and maximize impacts.

CONCLUSION

Emerging housing-focused interventions are designed to address key drivers of overdose risk (e.g., using alone, toxic drug supply). Yet, broader contextual factors (e.g., drug criminalization, housing quality, gender) are equally critical factors that shape how structurally vulnerable people who use drugs navigate and engage with harm reduction interventions. A more comprehensive understanding of these contextual factors within housing environments is needed to inform policy and programmatic interventions that are responsive to the needs of people who use drugs in these settings.

The association between community social vulnerability and prescription opioid availability with individual opioid overdose

BACKGROUND

This study aims to assess the association of community social vulnerability and community prescription opioid availability with individual non-fatal or fatal opioid overdose.

METHODS

We identified patients 12 years of age or older from the Oregon All Payer Claims database (APCD) linked to other public health datasets. Community-level characteristics were captured in an exposure period (EP) (1/1/2018-12/31/2018) and included: census tract-level social vulnerability domains (socio-economic status, household composition, racial and ethnic minority status, and housing type and transportation), census tract-level prescriptions and community-level opioid use disorder (OUD) diagnoses per 100 capita binned into quartiles or quintiles. We employed Cox models to estimate the risk of fatal and non-fatal opioid overdoses events in the 12 months following the EP.

MAIN FINDINGS

We identified 1,548,252 individuals. Patients were mostly female (54%), White (61%), commercially insured (54%), and lived in metropolitan areas (81%). Of the total sample, 2485 (0.2%) experienced a non-fatal opioid overdose and 297 died of opioid overdose. There was higher hazard for non-fatal overdose in communities with greater OUD per 100 capita. We also found higher non-fatal and fatal hazards for opioid overdose among patients in communities with higher housing type and transportation-related vulnerability compared to the lowest quintile. Conversely, patients were at less risk of opioid overdose when living in communities with greater prevalence of the young or the elderly, the disabled, single parent families or low English proficiency.

CONCLUSION

These findings underscore the importance of the environmental context when considering public health policies to reduce opioid harms.

Racial/ethnic differences in receipt of naloxone distributed by opioid overdose prevention programs in New York City

INTRODUCTION

We evaluated racial/ethnic differences in the receipt of naloxone distributed by opioid overdose prevention programs (OOPPs) in New York City (NYC).

METHODS

We used naloxone recipient racial/ethnic data collected by OOPPs from April 2018 to March 2019. We aggregated quarterly neighborhood-specific rates of naloxone receipt and other covariates to 42 NYC neighborhoods. We used a multilevel negative binomial regression model to assess the relationship between neighborhood-specific naloxone receipt rates and race/ethnicity. Race/ethnicity was stratified into four mutually exclusive groups: Latino, non-Latino Black, non-Latino White, and non-Latino Other. We also conducted racial/ethnic-specific geospatial analyses to assess whether there was within-group geographic variation in naloxone receipt rates for each racial/ethnic group.

RESULTS

Non-Latino Black residents had the highest median quarterly naloxone receipt rate of 41.8 per 100,000 residents, followed by Latino residents (22.0 per 100,000), non-Latino White (13.6 per 100,000) and non-Latino Other residents (13.3 per 100,000). In our multivariable analysis, compared with non-Latino White residents, non-Latino Black residents had a significantly higher receipt rate, and non-Latino Other residents had a significantly lower receipt rate. In the geospatial analyses, both Latino and non-Latino Black residents had the most within-group geographic variation in naloxone receipt rates compared to non-Latino White and Other residents.

CONCLUSIONS

This study found significant racial/ethnic differences in naloxone receipt from NYC OOPPs. We observed substantial variation in naloxone receipt for non-Latino Black and Latino residents across neighborhoods, indicating relatively poorer access in some neighborhoods and opportunities for new approaches to address geographic and structural barriers in these locations.

Opioid Use Disorder and Overdose in the First Year Postpartum: A Rapid Scoping Review and Implications for Future Research

OBJECTIVE

Opioid overdose is a leading cause of maternal mortality, yet limited attention has been given to the consequences of opioid use disorder (OUD) in the year following delivery when most drug-related deaths occur. This article provides an overview of the literature on OUD and overdose in the first year postpartum and provides recommendations to advance maternal opioid research.

APPROACH

A rapid scoping review of peer-reviewed research (2010-2021) on OUD and overdose in the year following delivery was conducted in PubMed, PsycINFO, and Web of Science databases. This article discusses existing research, remaining knowledge gaps, and methodological considerations needed.

RESULTS

Seven studies were included. Medication for OUD (MOUD) was the only identified factor associated with a reduction in overdose rates. Key literature gaps include the role of mental health disorders and co-occurring substance use, as well as interpersonal, social, and environmental contexts that may contribute to postpartum opioid problems and overdose.

CONCLUSION

There remains a limited understanding of why women in the first year postpartum are particularly vulnerable to opioid overdose. Recommendations include: (1) identifying subgroups of women with OUD at highest risk for postpartum overdose, (2) assessing opioid use, overdose, and risks throughout the first year postpartum, (3) evaluating the effect of co-occurring physical and mental health conditions and substance use disorders, (4) investigating the social and contextual determinants of opioid use and overdose after delivery, (5) increasing MOUD retention and treatment engagement postpartum, and (6) utilizing rigorous and multidisciplinary research methods to understand and prevent postpartum overdose.

Examining Increasing Racial Inequities in Opioid Overdose Deaths: a Spatiotemporal Analysis of Black and White Decedents in St. Louis, Missouri, 2011-2021

The third wave of the opioid overdose crisis-defined by the proliferation of illicit fentanyl and its analogs-has not only led to record numbers of overdose deaths but also to unprecedented racial inequities in overdose deaths impacting Black Americans. Despite this racialized shift in opioid availability, little research has examined how the spatial epidemiology of opioid overdose death has also shifted. The current study examines the differential geography of OOD by race and time (i.e., pre-fentanyl versus fentanyl era) in St. Louis, Missouri. Data included decedent records from the local medical examiners suspected to involve opioid overdose (N = 4420). Analyses included calculating spatial descriptive analyses and conducting hotspot analyses (i.e., Gettis-Ord Gi*) stratified by race (Black versus White) and time (2011-2015 versus 2016-2021). Results indicated that fentanyl era overdose deaths were more densely clustered than pre-fentanyl era deaths, particularly those among Black decedents. Although hotspots of overdose death were racially distinct pre-fentanyl, they substantially overlapped in the fentanyl era, with both Black and White deaths clustering in predominantly Black neighborhoods. Racial differences were observed in substances involved in cause of death and other overdose characteristics. The third wave of the opioid crisis appears to involve a geographic shift from areas where White individuals live to those where Black individuals live. Findings demonstrate racial differences in the epidemiology of overdose deaths that point to built environment determinants for future examination. Policy interventions targeting high-deprivation communities are needed to reduce the burden of opioid overdose on Black communities.

Racial/Ethnic differences in receipt of naloxone distributed by opioid overdose prevention programs in New York City

Introduction

We evaluated racial/ethnic differences in the receipt of naloxone distributed by opioid overdose prevention programs (OOPPs) in New York City (NYC).

Methods

We used naloxone recipient racial/ethnic data collected by OOPPs from April 2018 to March 2019. We aggregated quarterly neighborhood-specific rates of naloxone receipt and other covariates to 42 NYC neighborhoods. We used a multilevel negative binomial regression model to assess the relationship between neighborhood-specific naloxone receipt rates and race/ethnicity. Race/ethnicity was stratified into four mutually exclusive groups: Latino, non-Latino Black, non-Latino White and non-Latino Other. We also conducted racial/ethnic-specific geospatial analyses to assess whether there was within-group geographic variation in naloxone receipt rates for each racial/ethnic group.

Results

Non-Latino Black residents had the highest median quarterly naloxone receipt rate of 41.8 per 100,000 residents, followed by Latino residents (22.0 per 100,000), non-Latino White (13.6 per 100,000) and non-Latino Other residents (13.3 per 100,000). In our multivariable analysis, compared with non-Latino White residents, non-Latino Black residents had a significantly higher receipt rate and non-Latino Other residents had a significantly lower receipt rate. In the geospatial analyses, both Latino and non-Latino Black residents had the most within-group geographic variation in naloxone receipt rates compared to non-Latino White and Other residents.

Conclusions

This study found significant racial/ethnic differences in naloxone receipt from NYC OOPPs. We observed substantial variation in naloxone receipt for non-Latino Black and Latino residents across neighborhoods, indicating relatively poorer access in some neighborhoods and opportunities for new approaches to address geographic and structural barriers in these locations.

The salience of social context, opioid antagonist use, and prior opioid exposure as determinants of fatal and non-fatal opioid overdoses

This study examines the salience of social context for opioid overdoses in Boston from 2014 to 2019. Longitudinal negative binomial models with random effects indicated that higher levels of concentrated disadvantage, residential instability, and illicit drug activity increased annual block group counts of opioid overdoses. Logistic hierarchical and cross-classified random effects models indicated that the use of Narcan and greater exposure to drugs through previous opioid overdose and contextual lillicit drug crime activity reduced the odds of fatal opioid overdose relative to non-fatal opioid overdose. The findings suggest that the accurate tracking of both fatal and non-fatal overdoses, and a consideration of the broader social context, can facilitate effective public health resource allocation to reduce opioid overdoses.

Evaluating equity in community-based naloxone access among racial/ethnic groups in Massachusetts

BACKGROUND

Racial/ethnic minorities have experienced disproportionate opioid-related overdose death rates in recent years. In this context, we examined inequities in community-based naloxone access across racial/ethnic groups in Massachusetts.

METHODS

We used data from: the Massachusetts Department of Public Health on community-based overdose education and naloxone distribution (OEND) programs; the Massachusetts Office of the Chief Medical Examiner on opioid-related overdose deaths, and; the United States Census American Community Survey for regional demographic/socioeconomic details to estimate community populations by race/ethnicity and racial segregation between African American/Black and white residents. Race/ethnicity groups included in the analysis were African American/Black (non-Hispanic), Hispanic, white (non-Hispanic), and "other" (non-Hispanic). We evaluated racial/ethnic differences in naloxone distribution across regions in Massachusetts and neighborhoods in Boston descriptively and spatially, plotting the race/ethnicity-specific number of kits per opioid-related overdose death per jurisdiction. Lastly, we constructed generalized estimating equations models with a negative binomial distribution to compare the race/ethnicity-specific naloxone distribution rate by OEND programs.

RESULTS

From 2016-2019, the median annual rate of naloxone kits received from OEND programs in Massachusetts per racial/ethnicity group ranged between 160 and 447 per 100,000. In a multivariable analysis, we found that the naloxone distribution rates for racial/ethnic minorities were lower than the rate for white residents. We also found naloxone was more likely to be distributed in racially segregated communities than non-segregated communities.

CONCLUSION

We identified racial/ethnic inequities in naloxone receipt by individuals in Massachusetts. Additional resources focused on designing and implementing OEND programs for racial/ethnic minorities are warranted to ensure equitable access to naloxone.

City streetscapes and neighborhood characteristics of fatal opioid overdoses among people experiencing homelessness who use drugs in New York City, 2017-2019

BACKGROUND

While housing is a critical social determinant of nonprescription opioid overdose, little is known about how place impacts fatal overdose for people experiencing homelessness (PEH) who use drugs beyond the public versus private domains. This study investigated patterns of neighborhood environment features at locations of fatal overdoses among PEH.

METHODS

We remotely visited locations of opioid-involved fatal overdoses provided by the New York City Office of the Chief Medical Examiner, 2017-2019 (n=3276), with Google Street View and used systematic social observation to assess characteristics of the street block related to drug exposures. We cross-referenced home address with city shelters and supportive housing to identify PEH (n=503). We used the differences of K functions from the spatial point patterns and kernel ratio function maps to identify geographic clusters. We then used logistic regression to identify significant individual-, block-, and neighborhood-level covariates (neighborhood deprivation, segregation, population density).

RESULTS

Over half (55.9%, n=281) of fatal overdoses among PEH occurred in supportive housing or shelters, and 15.5% (n=78) occurred in public spaces (e.g., parks). Spatial analyses identified areas of significant concentrated fatal overdoses among PEH in Manhattan, the South Bronx, and Brooklyn. We identified several significant indicators of physical and social order and disorder associated with increased odds of experiencing homelessness at time of fatal overdose, including construction/renovation, graffiti, traffic calming features, and loitering.

CONCLUSION

Harm reduction services should be co-located in facilities that serve PEH and targeted to street blocks with indicators of physical and social disorder. While supportive housing is a crucial step in preventing fatal opioid overdoses among PEH, identifying neighborhoods for intervention services delivery and harm reduction outreach for PEH is necessary.

Relationships between places of residence, injury, and death: Spatial and statistical analysis of fatal opioid overdoses across Massachusetts

Understanding the factors associated with where people who use opioids live, where their fatal overdoses occur, and where deaths are recorded can improve our knowledge of local risk environments and inform intervention planning. Through geospatial analyses of death certificate data between 2015 and 2017, we found that a majority of opioid-involved fatal overdoses in Massachusetts occurred at home. Age (adjusted odds ratio [AOR], 1.03; 95% confidence interval [CI], 1.02-1.04), living in a census tract with a higher percentage of crowded households (AOR, 1.04; 95% CI, 1.01-1.08), households without vehicles (AOR, 1.01; 95% CI, 1.00-1.02), and Hispanic ethnicity (AOR, 0.56; 95% CI, 0.42-0.74) were independently associated with fatal overdose at home. Using geographically weighted regression, we identified locations where these associations were stronger and could benefit most from home-based and culturally sensitive overdose prevention efforts, including expanded overdose education and naloxone distribution.

Disparities in opioid overdose survival and naloxone administration in Pennsylvania

BACKGROUND

Pennsylvania has one of the highest opioid overdose rates in the US; however, since 2018 approximately 80% of people who experienced an opioid overdose in the state survived. More attention has been paid to opioid overdose mortality despite notable individual and geographic differences in overdose survival. Naloxone is an essential tool in increasing chances of survival after opioid overdose, but its availability and the rate at which it is administered differs by county in Pennsylvania and nationally.

METHODS

We use 2018-2020 Pennsylvania Overdose Information Network data on opioid incidents and where they occurred, combined with 2015-2019 American Community Survey data, to evaluate opioid overdose survival and naloxone administration by county over a three-year period.

RESULTS

Individuals who received at least one dose of naloxone following overdose had 11 times greater odds of survival. White, middle-aged men were least likely to survive opioid overdose. Both survival and naloxone administration rates differed by county with lower rates in less populated counties.

CONCLUSION

Expanding naloxone distribution and administration and ensuring proper education about standing orders for naloxone administration are important tools for addressing opioid overdose mortality.

The role of increasing pharmacy and community distributed naloxone in the opioid overdose epidemic in Massachusetts, Rhode Island, and New York City

Background

Naloxone distributed to people at risk for opioid overdose has been associated with reduced overdose death rates; however, associations of retail pharmacy-distributed naloxone with overdose mortality have not been evaluated.

Methods

Our analytic cohort uses retail pharmacy claims data; three health departments' community distribution data; federal opioid overdose data; and American Community Survey data. Data were analyzed by 3-digit ZIP Code and calendar quarter-year (2016Q1-2018Q4), and weighted by population. We regressed opioid-related overdose mortality on retail-pharmacy and community naloxone distribution, and community-level demographics using a linear model, hypothesizing that areas with high overdose rates would have higher current levels of naloxone distribution but that increasing naloxone distribution from one quarter to the next would be associated with lower overdose.

Results

From Q1-2016 to Q4-2018, the unadjusted naloxone distribution rate increased from 97 to 257 kits per 100,000 persons, while the unadjusted opioid overdose mortality rate fell from 8.1 to 7.2 per 100,000 persons. The concurrent level of naloxone distribution (both pharmacy and community) was positively and significantly associated with fatal opioid overdose rates. We did not detect associations between change in naloxone distribution rates and overdose mortality.

Conclusion

Naloxone distribution volumes were correlated with fatal opioid overdose, suggesting medication was getting to communities where it was needed most. Amid high rates of overdose driven by fentanyl in the drug supply, our findings suggest additional prevention, treatment, and harm reduction interventions are required-and dramatically higher naloxone volumes needed-to reverse the opioid overdose crisis in the US.

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.

Spatial and neighborhood-level correlates of lay naloxone reversal events and service availability

BACKGROUND

The opioid epidemic in the United States continues to surge, reaching record deaths from opioid and fentanyl overdoses in 2020. This study analyzes spatial and neighborhood correlates of free naloxone distribution sites as well as overdose and naloxone reversal events in Baltimore, Maryland, which has one of the highest overdose rates in the country.

METHODS

Using data from a randomized clinical trial on HIV prevention among people using substances in Baltimore, Maryland, as well as demographic data from the US Census Bureau, we conducted: (1) exploratory spatial visualizations of census tracts' minimum distance to naloxone distribution sites, (2) univariable Wilcoxon rank-sum tests to compare census tracts on demographic metrics, and (3) bivariable and multivariable negative binomial regression models to assess associations between census tract characteristics and naloxone reversal events.

RESULTS

Valid geographic data were provided for 518 overdose events involving either fentanyl or heroin in this study. Of these, 190 (37%) attempted naloxone reversal events were reported. Exploratory spatial visualization techniques suggest that most distribution sites are appropriately located near populations at high risk of overdose, but study findings also identify areas where drug use and overdoses occur that are located farther from distribution sites. In multivariable analyses, naloxone administration was significantly and inversely associated with distance to the nearest distribution site (incidence rate ratio (IRR)=0.72 per 1000m increase, 95% CI 0.59-0.89, p=0.002).

CONCLUSION

Study findings emphasize the correlation between proximity to naloxone sites and utilization of resources, highlighting that physical proximity to harm reduction resources may contribute to uptake. Results further underscore that research on service accessibility and utilization must consider the spatial distribution of health services.

Community-based naloxone coverage equity for the prevention of opioid overdose fatalities in racial/ethnic minority communities in Massachusetts and Rhode Island

BACKGROUND AND AIMS

Opioid-related overdose death rates continue to rise in the United States, especially in racial/ethnic minority communities. Our objective was to determine if US municipalities with high percentages of non-white residents have equitable access to the overdose antidote naloxone distributed by community-based organizations.

METHODS

We used community-based naloxone data from the Massachusetts Department of Public Health and the Rhode Island non-pharmacy naloxone distribution program for 2016-18. We obtained publicly available opioid-related overdose death data from Massachusetts and the Office of the State Medical Examiners in Rhode Island. We defined the naloxone coverage ratio as the number of community-based naloxone kits received by a resident in a municipality divided by the number of opioid-related overdose deaths among residents, updated annually. We used a Poisson regression with generalized estimating equations to analyze the relationship between the municipal racial/ethnic composition and naloxone coverage ratio. To account for the potential non-linear relationship between naloxone coverage ratio and race/ethnicity we created B-splines for the percentage of non-white residents; and for a secondary analysis examining the percentage of African American/black and Hispanic residents. The models were adjusted for the percentage of residents in poverty, urbanicity, state and population size.

RESULTS

Between 2016 and 2018, the annual naloxone coverage ratios range was 0-135. There was no difference in naloxone coverage ratios among municipalities with varying percentages of non-white residents in our multivariable analysis. In the secondary analysis, municipalities with higher percentages of African American/black residents had higher naloxone coverage ratios, independent of other factors. Naloxone coverage did not differ by percentage of Hispanic residents.

CONCLUSIONS

There appear to be no municipal-level racial/ethnic inequities in naloxone distribution in Rhode Island and Massachusetts, USA.

Preventing Overdose Using Information and Data from the Environment (PROVIDENT): protocol for a randomized, population-based, community intervention trial

BACKGROUND AND AIMS

In light of the accelerating drug overdose epidemic in North America, new strategies are needed to identify communities most at risk to prioritize geographically the existing public health resources (e.g. street outreach, naloxone distribution efforts). We aimed to develop PROVIDENT (Preventing Overdose using Information and Data from the Environment), a machine learning-based forecasting tool to predict future overdose deaths at the census block group (i.e. neighbourhood) level.

DESIGN

Randomized, population-based, community intervention trial.

SETTING

Rhode Island, USA.

PARTICIPANTS

All people who reside in Rhode Island during the study period may contribute data to either the model or the trial outcomes.

INTERVENTION

Each of the state's 39 municipalities will be randomized to the intervention (PROVIDENT) or comparator condition. An interactive, web-based tool will be developed to visualize the PROVIDENT model predictions. Municipalities assigned to the treatment arm will receive neighbourhood risk predictions from the PROVIDENT model, and state agencies and community-based organizations will direct resources to neighbourhoods identified as high risk. Municipalities assigned to the control arm will continue to receive surveillance information and overdose prevention resources, but they will not receive neighbourhood risk predictions.

MEASUREMENTS

The primary outcome is the municipal-level rate of fatal and non-fatal drug overdoses. Fatal overdoses will be defined as unintentional drug-related death; non-fatal overdoses will be defined as an emergency department visit for a suspected overdose reported through the state's syndromic surveillance system. Intervention efficacy will be assessed using Poisson or negative binomial regression to estimate incidence rate ratios comparing fatal and non-fatal overdose rates in treatment vs. control municipalities.

COMMENTS

The findings will inform the utility of predictive modelling as a tool to improve public health decision-making and inform resource allocation to communities that should be prioritized for prevention, treatment, recovery and overdose rescue services.

Neighborhood disadvantage and prescription drug misuse in low-income urban mothers

BACKGROUND

Prescription drug misuse remains a persistent problem in the United States. Residents living in disadvantaged neighborhoods are at greater risk of substance abuse such as alcohol, tobacco, or drugs. However, whether neighborhood disadvantage affects prescription drug misuse remains underexplored.

METHODS

This study uses data on 3444 mothers from the Fragile Families and Child Wellbeing Study to examine the role of neighborhood disadvantage in prescription drug misuse. In addition, we examine whether social support and neighborhood collective efficacy (social cohesion and social control) explain this relationship. The analysis uses multivariate logistic regression and delineated between the following neighborhoods: affluent (3% poverty), low poverty (3-10%), moderate poverty (10-20%), and high poverty neighborhoods (20% or more).

RESULTS

Mothers living in moderately poor neighborhoods were more than twice as likely (odds = 2.17, 95% CI: 1.43-3.27) to misuse prescription drugs than mothers living in neighborhoods with high poverty. Mothers living in neighborhoods with high poverty did not have a statistically significant difference in prescription drug misuse than those living in affluent or low poverty neighborhoods. Social support and neighborhood collective efficacy did not explain these associations. The association between moderate poverty and prescription drug misuse was mostly direct and there was no indirect association.

CONCLUSION

The study highlights the higher risk of prescription drug misuse among mothers living in neighborhoods with moderate poverty. Interventions aimed at reducing opioid misuse should focus on demographic groups that are more vulnerable such as low-income mothers living in disadvantaged neighborhoods.

High occurrence of witnessing an opioid overdose in a sample of women who use heroin in Tanzania: Implications for overdose prevention

BACKGROUND

Opioid overdose is preventable and reversible. To target overdose prevention training and naloxone distribution, it is important to understand characteristics of those people who use drugs most likely to witness an overdose. In this paper we report the proportion and characteristics of women who use heroin that have witnessed an opioid overdose in Dar es Salaam, Tanzania.

METHODS

We conducted a cross-sectional survey with 200 women who use heroin. We fitted unadjusted and adjusted logistic regression models with witnessing an opioid overdose as the dependent variable and sociodemographic and drug use-related variables as independent variables.

RESULTS

The majority of participants (85%) reported having ever witnessed an opioid overdose. Age (adjusted Odds Ratio [aOR] = 1.09; 95% CI: 1.02-1.12), having ever attempted to stop heroin use (aOR = 11.27; 95% CI: 2.25-56.46), history of arrest (aOR = 3.75; 95% CI: 1.32-10.63), and spending time daily in places where people use drugs (aOR = 3.72; 95% CI: 1.43-9.64) were found to be independently associated with ever witnessing an overdose.

CONCLUSIONS

Findings suggest the need for expanded access to naloxone to lay people and community and peer-based overdose prevention training in Tanzania, including the distribution of naloxone in settings with high drug use.

Racial differences in overdose training, naloxone possession, and naloxone administration among clients and nonclients of a syringe services program

OBJECTIVE

To evaluate racial (Black/White) differences in overdose response training and take-home naloxone (THN) possession and administration among clients and nonclients of the Baltimore syringe service program (SSP).

METHODS

The study derived data from a cross-sectional survey of 263 (183 SSP clients, 80 nonclients) people who inject drugs (PWID). The study recruited SSP clients using targeted sampling and recruited nonclients through peer referral from April to November 2016.

RESULTS

In our sample, 61% of the participants were Black, 42% were between the ages of 18 and 44, and 70% were males. SSP clients, regardless of race, were more likely to have received overdose response training than Black nonclients (Black clients AOR: 3.85, 95% CI: 1.88, 7.92; White clients AOR: 2.73, 95% CI: 1.29, 5.75). The study found no significant differences in overdose response training between Black and White nonclients. SSP clients and White nonclients were more likely to possess THN than Black nonclients (Black clients: AOR: 4.21, 95% CI: 2.00, 8.87; White clients: AOR: 3.54, 95% CI: 1.56, 8.04; White nonclients AOR: 4.49, 95% CI: 1.50,13.47).

CONCLUSION

SSP clients were more likely to receive overdose response training than their nonclient peers who they referred to the study, illustrating the utility of SSPs in reaching PWID at high risk of overdose. We also observed that Black PWID, who did not access services at the SSP, were the least likely to possess THN, suggesting the need to employ outreach targeting Black PWID who do not access this central harm reduction intervention.

Predictors of having naloxone in urban and rural Oregon findings from NHBS and the OR-HOPE study

PURPOSE

Naloxone is an opioid antagonist that can be effectively administered by bystanders to prevent overdose. We determined the proportion of people who had naloxone and identified predictors of naloxone ownership among two samples of people who inject drugs (PWID) who use opioids in Portland and rural Western Oregon.

BASIC PROCEDURES

We used data from participants in Portland's National HIV Behavioral Surveillance (NHBS, N = 477) and the Oregon HIV/Hepatitis and Opioid Prevention and Engagement Study (OR-HOPE, N = 133). For each sample, we determined the proportion of participants who had naloxone and estimated unadjusted and adjusted relative risk of having naloxone associated with participant characteristics.

MAIN FINDINGS

Sixty one percent of NHBS and 30 % of OR-HOPE participants had naloxone. In adjusted analysis, having naloxone was associated with female gender, injecting goofballs (compared to heroin alone), housing stability, and overdose training in the urban NHBS sample, and having naloxone was associated with drug of choice, frequency of injection, and race in the rural OR-HOPE sample. In both samples, having naloxone was crudely associated with SSP use, but this was attenuated after adjustment.

PRINCIPAL CONCLUSIONS

Naloxone ownership was insufficient and highly variable among two samples of PWID who use opioids in Oregon. People who use methamphetamine, males, and people experiencing homelessness may be at increased risk for not having naloxone and SSP may play a key role in improving access.

Equity-oriented frameworks to inform responses to opioid overdoses: a scoping review

OBJECTIVE

The purpose of this scoping review was to systematically identify and describe literature that uses a health equity-oriented approach for preventing and reducing the harms of stigma or overdose for people who use illicit drugs or misuse prescription opioids.

INCLUSION CRITERIA

To be included, papers had to both: i) use a health equity-oriented approach, defined as a response that addresses health inequities and aims to reduce drug-related harms of stigma or overdose; and ii) include at least one of the following concepts: cultural safety, trauma- and violence-informed care, or harm reduction. We also looked for papers that included an Indigenous-informed perspective in addition to any of the three concepts.

METHODS

An a priori protocol was published and the JBI methodology for conducting scoping reviews was employed. Published and unpublished literature from January 1, 2000, to July 31, 2019, was included. The databases searched included CINAHL (EBSCOhost), MEDLINE (Ovid), Academic Search Premier (EBSCOhost), PsycINFO (EBSCOhost), Sociological Abstracts and Social Services Abstracts (ProQuest), JBI Database of Systematic Reviews and Implementation Reports, Cochrane Database of Systematic Reviews, PROSPERO, Aboriginal Health Abstract Database, First Nations Periodical Index, and the National Indigenous Studies Portal. The search for unpublished studies included ProQuest Dissertations and Theses, Google Scholar, and targeted web searches. Screening and data extraction were performed by two reviewers using templates developed by the authors. Data extraction included specific details about the population, concepts, context, and key findings or recommendations relevant to the review objectives.

RESULTS

A total of a total of 1065 articles were identified and screened, with a total of 148 articles included. The majority were published in the previous five years (73%) and were from North America (78%). Most articles only focused on one of the three health equity-oriented approaches, most often harm reduction (n = 79), with only 16 articles including all three. There were 14 articles identified that also included an Indigenous-informed perspective. Almost one-half of the papers were qualitative (n = 65; 44%) and 26 papers included a framework. Of these, seven papers described a framework that included all three approaches, but none included an Indigenous-informed perspective. Recommendations for health equity-oriented approaches are: i) inclusion of people with lived and living experience; ii) multifaceted approaches to reduce stigma and discrimination; iii) recognize and address inequities; iv) drug policy reform and decriminalization; v) ensure harm-reduction principles are applied within comprehensive responses; and vi) proportionate universalism. Gaps in knowledge and areas for future research are discussed.

CONCLUSIONS

We have identified few conceptual frameworks that are both health equity-oriented and incorporate multiple concepts that could enrich responses to the opioid poisoning emergency. More research is required to evaluate the impact of these integrated frameworks for action.

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.

Rural and small metro area naloxone-dispensing pharmacists' attitudes, experiences, and support for a frontline public health pharmacy role to increase naloxone uptake in New York State, 2019

INTRODUCTION

The purpose of this study is to assess community pharmacists' attitudes and experiences related to naloxone dispensation and counseling in non-urban areas in New York State to better understand individual and structural factors that influence pharmacy provision of naloxone.

MATERIALS AND METHODS

The study conducted interviewer-administered semistructured surveys among community pharmacists in retail, independent, and supermarket pharmacies between October 2019 and December 2019. The 29-item survey ascertained pharmacists' demographic and practice characteristics; experiences and beliefs related to naloxone dispensation; and attitudes toward expansion of pharmacy services to include on-site public health services for persons who use opioids. The study used Chi square tests to determine associations between each characteristic and self-reported naloxone dispensation (any vs. none).

RESULTS

A total of 60 of the 80 community pharmacists that the study team had approached agreed to participate. A majority were supportive of expanding pharmacy-based access to vaccinations (93.3%), on-site HIV testing, or referrals (75% and 96.7%, respectively), providing information on safe syringe use (93.3%) and disposal (98.3%), and referrals to medical/social services (88.3%), specifically substance use treatment (90%). A majority of pharmacist respondents denied negative impacts on business with over half reporting active naloxone dispensation (58.3%). Pharmacists dispensing naloxone were more likely to be multilingual (p < 0.03), and to specifically support on-site HIV testing (p < 0.02) than those who were not dispensing naloxone.

DISCUSSION

Community pharmacists were highly favorable of naloxone dispensation in rural and small metro area pharmacies in NY, and those fluent in additional language(s) and supportive of on-site HIV testing were associated with active naloxone dispensation. While active naloxone dispensation was low, pharmacists appear supportive of a "frontline public health provider" model, which could facilitate naloxone uptake and warrants large-scale investigation.

CONCLUSION

Rural and small metro area pharmacists are generally favorable of naloxone dispensation.

Opioid-Associated Out-of-Hospital Cardiac Arrest: Distinctive Clinical Features and Implications for Health Care and Public Responses: A Scientific Statement From the American Heart Association

Opioid overdose is the leading cause of death for Americans 25 to 64 years of age, and opioid use disorder affects >2 million Americans. The epidemiology of opioid-associated out-of-hospital cardiac arrest in the United States is changing rapidly, with exponential increases in death resulting from synthetic opioids and linear increases in heroin deaths more than offsetting modest reductions in deaths from prescription opioids. The pathophysiology of polysubstance toxidromes involving opioids, asphyxial death, and prolonged hypoxemia leading to global ischemia (cardiac arrest) differs from that of sudden cardiac arrest. People who use opioids may also develop bacteremia, central nervous system vasculitis and leukoencephalopathy, torsades de pointes, pulmonary vasculopathy, and pulmonary edema. Emergency management of opioid poisoning requires recognition by the lay public or emergency dispatchers, prompt emergency response, and effective ventilation coupled to compressions in the setting of opioid-associated out-of-hospital cardiac arrest. Effective ventilation is challenging to teach, whereas naloxone, an opioid antagonist, can be administered by emergency medical personnel, trained laypeople, and the general public with dispatcher instruction to prevent cardiac arrest. Opioid education and naloxone distributions programs have been developed to teach people who are likely to encounter a person with opioid poisoning how to administer naloxone, deliver high-quality compressions, and perform rescue breathing. Current American Heart Association recommendations call for laypeople and others who cannot reliably establish the presence of a pulse to initiate cardiopulmonary resuscitation in any individual who is unconscious and not breathing normally; if opioid overdose is suspected, naloxone should also be administered. Secondary prevention, including counseling, opioid overdose education with take-home naloxone, and medication for opioid use disorder, is important to prevent recurrent opioid overdose.

Stakeholders' Perceptions of Factors Influencing the Use of Take-Home-Naloxone

Background and Aims: Opioid associated death and overdose is a growing burden in societies all over the world. In recent years, legislative changes have increased access to naloxone in the take-home setting for use by patients with a substance use disorder and bystanders, to prevent opioid overdose deaths. However, few studies have explored the factors influencing the uptake by its multiple stakeholders. The aim of this scoping review was to explore the factors influencing the use of take-home naloxone from the perspectives of different stakeholders. Methods: A scoping review methodology was adopted with a systematic search of databases EMBASE, MEDLINE and PubMed. A variation of the search words “naloxone”, “opioid” and “overdose” were used in each database. The articles were screened according to the predetermined inclusion/exclusion criteria and categorized based on their key perspective or target population. Results: The initial database search yielded a total of 1483 articles. After a series of screening processes, 51 articles were included for analysis. Two key stakeholder perspectives emerged: patients and bystanders (n = 36), and healthcare professionals (n = 15). Within the patient and bystander group, a strong consensus arose that there were positive outcomes from increased access to take-home naloxone and relevant training programs. Despite these positive outcomes, some healthcare professionals were concerned that take-home naloxone would encourage high-risk opioid use. Conclusion: Take-home naloxone is slowly being introduced into community practice, with a sense of enthusiasm from patients and bystanders. There are still a number of barriers that need to be addressed from healthcare professionals’ perspective. Future research should be aimed at emergency care professionals outside of the US, who are most experienced with naloxone and its potential impact on the community.

Examining the neighborhood-level socioeconomic characteristics associated with fatal overdose by type of drug involved and overdose setting

BACKGROUND

Fatal drug overdose in the United States is a public health crisis fueled by increased opioid and polysubstance use. Few studies have compared the neighborhood-level socioeconomic characteristics associated with overdoses of various substance classes and, to our knowledge, no investigation has yet assessed these factors in relation to polysubstance overdoses. Further, no study has determined whether socioeconomic conditions predict other contextually relevant aspects of overdoses such as whether they occur at-home or out-of-home.

METHODS

Overdose data (2015-2018) were obtained from the Coroner/Medical Examiner's Office of Jefferson County, Alabama. The toxicology results of decedents with a known overdose locations (N = 768) were assessed for the presence of synthetic opioids, natural and semi-synthetic opioids, heroin, stimulants, benzodiazepines, and alcohol. Socioeconomic characteristics were obtained from the Unites States Census Bureau at the census tract level.

RESULTS

Stimulant overdoses occurred in neighborhoods with the highest rates of disadvantage relative to other substance and polysubstance overdose types. The majority of included overdoses occurred at-home (63.7%) and an index of socioeconomic disadvantage predicted overdose rates for both at-home and out-of-home overdoses. Heroin overdose deaths were more likely to occur at-home while polysubstance stimulant-heroin overdoses were more common out-of-home.

CONCLUSIONS

An index of socioeconomic disadvantage was generally predictive of overdose, regardless of the setting in which the overdose occurred (in-home vs. out-of-home). The associations between neighborhood-level socioeconomic characteristics and fatal overdose can be tailored by substance type to create targeted interventions. Overdose setting may be an important consideration for future policy efforts, as overdoses were nearly twice as likely to occur at-home.

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.

The spatio-temporal distribution of naloxone administration events in rural Ohio 2010-16

INTRODUCTION

In 2017, Ohio had the second highest rate of drug overdose deaths in the United States. Current opioid related epidemiologic literature has begun to uncover the environmental level influences on the opioid epidemic and how the end results may ultimately manifest over space and time. This work is still nascent however, with most clustering research conducted at a spatial unit such as county level, which (1) can obscure differences between urban and rural communities, (2) does not consider dynamics that cross county lines, and (3) is difficult to interpret directly into strategic and localized intervention efforts. We address this gap by describing, at the Census block level, the spatial-temporal clustering of opioid related events in rural Ohio.

METHODS

We use the outcome of the administration of naloxone emergency medical service (EMS) calls in rural Ohio Census blocks during 2010-16 in a Poisson model of spatial scan statistics.

RESULTS

We found that naloxone event clustering in rural Ohio in the recent decade was widely dispersed over time and space, with clusters that average 17 times the risk of having an event compared to areas outside the cluster. Many of the larger spatial clusters crossed administrative boundaries (i.e., county lines) suggesting that opioid misuse may be less responsive to county level policies than to other factors.

DISCUSSION

Timely identification of localized overdose event clustering can guide affected communities toward rapid interventions aimed at minimizing the morbidity and mortality resulting from contagious opioid misuse.

Compositional and contextual factors associated with drug overdose deaths in the United States

Background: In 2017, the US Department of Health and Human Services declared the Opioid epidemic a public health emergency. In the US, emergency rooms treat more than 1,000 people each day for drug overdose, and 115 of them die. This study examines compositional and contextual factors associated with drug overdose deaths rates in the US. Methods: Local spatial autocorrelation statistics were used to estimate hot spot areas to identify census tracts with high risk of drug overdose death. Logistic regressions investigated the relationship between drug overdose death rates and various compositional and contextual variables across census tracks. Results: The adjusted logistic model shows that compositional variables: depression (OR = 2.47 [2.37-2.58]), poor mental health (OR = 1.71 [1.63-1.79]), median age 1.41 (1.36-1.47) and the percentage of people with a high school diploma (OR = 1.30 [1.24-1.35]) were positively associated with the rate of drug overdose deaths. On the other hand, contextual variables: the percentage having health insurance (OR = 0.66 [0.64-0.69]), the Theil's H index (OR = 0.69 [0.66-0.71]), population density (OR = 0.80 [0.77-0.84]), poverty (OR = 0.90 [0.86-0.95]), and median household income (OR = 0.91[0.86-0.96]) were negatively associated with drug overdose deaths. Discussion: The analysis reveals a consistently strong association between compositional mental health factors and census tract-level death rates from drug overdose.

Endogenous opiates and behavior: 2017

This paper is the fortieth consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2017 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

"That's a double-edged sword": Exploring the integration of supervised consumption services within community health centres in Toronto, Canada

Supervised consumption services (SCS) have been integrated into community health centres in Toronto. We draw on qualitative interviews and ethnographic observations to examine the implementation contexts of these SCS. Participants' perspectives on the integration of SCS within CHCs were mixed. Some participants identified the benefits of integrated SCS such as convenience and access to other health and social services. However, others identified negative consequences of integration, including building design, lack of privacy and anonymity, and limited hours of operation. These perspectives highlight the ways in which contextual factors affect the experiences of clients in accessing SCS, and suggest that various factors need to be considered in order to improve service uptake.

Drug overdose mortality among residents of single room occupancy buildings in San Francisco, California, 2010-2017

BACKGROUND

Single room occupancy (SRO) buildings, also known as residential hotels, are a form of affordable housing common to cities in North America, and residents of these buildings face elevated rates of substance use, physical and mental multimorbidity, and mortality. Identifying distinct populations at greater risk of overdose death is crucial to the planning of interventions aiming to reduce drug-related mortality, yet no studies have assessed the population burden of overdose mortality among SRO residents. The present study quantifies and characterizes drug overdose mortality among residents of SRO buildings in a large U.S. city.

METHODS

We used mortality records and a database of SRO buildings to calculate rate ratios comparing overdose mortality due to opioids, cocaine, and methamphetamine among SRO residents and non-SRO residents in San Francisco, CA 2010-2017 and assessed bivariate differences in decedent and death location characteristics between SRO resident and other overdose decedents.

RESULTS

There were 1,551 overdose deaths during the study period, with an overall rate of 21.3 per 100,000 residents (95%CI = 20.2-22.6). The rate among SRO residents (278.7, 95%CI = 252.9-306.5) was 19.3 (95%CI = 17.1-21.7) times that of non-SRO residents (21.3, 95%CI = 20.2-22.6). An additional 79 (5%) deaths among non-residents occurred in SRO buildings, and 86% of SRO resident decedents died at home compared to 64% of non-SRO residents (p < 0.05).

CONCLUSIONS

Overdose mortality was substantially higher among SRO residents, who were also more likely to die from overdose at home, which highlights the need for resources and targeted interventions directed towards residents of SRO buildings.

Suspected heroin-related overdoses incidents in Cincinnati, Ohio: A spatiotemporal analysis

BACKGROUND

Opioid misuse and deaths are increasing in the United States. In 2017, Ohio had the second highest overdose rates in the US, with the city of Cincinnati experiencing a 50% rise in opioid overdoses since 2015. Understanding the temporal and geographic variation in overdose emergencies may help guide public policy responses to the opioid epidemic.

METHODS AND FINDINGS

We used a publicly available data set of suspected heroin-related emergency calls (n = 6,246) to map overdose incidents to 280 census block groups in Cincinnati between August 1, 2015, and January 30, 2019. We used a Bayesian space-time Poisson regression model to examine the relationship between demographic and environmental characteristics and the number of calls within block groups. Higher numbers of heroin-related incidents were found to be associated with features of the built environment, including the proportion of parks (relative risk [RR] = 2.233; 95% credible interval [CI]: [1.075-4.643]), commercial (RR = 13.200; 95% CI: [4.584-38.169]), manufacturing (RR = 4.775; 95% CI: [1.958-11.683]), and downtown development zones (RR = 11.362; 95% CI: [3.796-34.015]). The number of suspected heroin-related emergency calls was also positively associated with the proportion of male population, the population aged 35-49 years, and distance to pharmacies and was negatively associated with the proportion aged 18-24 years, the proportion of the population with a bachelor's degree or higher, median household income, the number of fast food restaurants, distance to hospitals, and distance to opioid treatment programs. Significant spatial and temporal heterogeneity in the risks of incidents remained after adjusting for covariates. Limitations of this study include lack of information about the nature of incidents after dispatch, which may differ from the initial classification of being related to heroin, and lack of information on local policy changes and interventions.

CONCLUSIONS

We identified areas with high numbers of reported heroin-related incidents and features of the built environment and demographic characteristics that are associated with these events in the city of Cincinnati. Publicly available information about opiate overdoses, combined with data on spatiotemporal risk factors, may help municipalities plan, implement, and target harm-reduction measures. In the US, more work is necessary to improve data availability in other cities and states and the compatibility of data from different sources in order to adequately measure and monitor the risk of overdose and inform health policies.

The epidemiology of opioid overdose in Flint and Genesee County, Michigan: Implications for public health practice and intervention

As the opioid epidemic continues to worsen throughout the United States, researchers and practitioners require additional tools to help in efforts to address use and prevent overdose. Although opioids are increasingly of concern to all racial and socioeconomic groups, specific geographic regions and sub-populations remain more burdened by overdoses than others. The example of Flint, Michigan, is used to contextualize the landscape of opioid overdose death and understand geographic and demographic variation in risk. Kernel density analysis and spatial joins in ArcGIS were used to map opioid overdose death clusters, treatment availability, and neighborhood-level conditions to uncover factors related to overdose death. Spatial analysis revealed three geographic clusters in opioid overdose death in Flint. These neighborhoods tended to be somewhat poorer but also significantly Whiter than the average Flint neighborhood. Alternatively, opioid overdose death clusters did not occur in predominately African-American neighborhoods. As well, treatment sites were not coincident with the location of overdose death clusters, suggesting a potential need for geographically-targeted interventions. Of the 47 treatment sites, only 29 offered medication-assisted treatment, and expansion of these programs may therefore be warranted. This work is of great importance to ongoing prevention and treatment efforts in Flint, but also to other communities with a need for better tools to monitor and intervene in the opioid epidemic.

Assessing Spatial Relationships between Prescription Drugs, Race, and Overdose in New York State from 2013 to 2015

Over the last decade, New York State has experienced one of the greatest increases in opioid overdose deaths in the United States, particularly from heroin and synthetic opioids. This study investigated spatial patterns in the distribution of county-level rates of overdose deaths in New York State and associations between prescriptions for opioid pain relievers, race, and overdose deaths from 2013-2015. Global and local Moran's I tests for spatial autocorrelation examined Bayesian smoothed rates of overdose for clusters of counties with high and low rates of overdose mortality. Getis Ord* analyses identified local hotspots of high and low clusters of overdose. Model performance indicators selected the best-fitting spatial regression model to examine associations between prescriptions for opioid pain relievers, race/ethnicity (non-Hispanic White, Black, and Hispanic) after adjusting for spatial dependence in the data. Socio-demographic characteristics of clusters were examined. Findings suggest rates of opioid overdose deaths are clustered in New York. Rates of prescription opioids were associated with rates of overdose from any opioid, prescription pain relievers, and synthetic opioids. Greater populations of African Americans were associated with greater rates of heroin overdose death rates. Findings from this study inform public health opioid overdose prevention interventions and policies.

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.

Identifying high-risk areas for nonfatal opioid overdose: a spatial case-control study using EMS run data

PURPOSE

The objective of our study was to incorporate stricter probable nonfatal opioid overdose case criteria, and advanced epidemiologic approaches to more reliably detect local clustering in nonfatal opioid overdose activity in EMS runs data.

METHODS

Data were obtained using emsCharts for our study area in southwestern Pennsylvania from 2007 to 2018. Cases were identified as emergency medical service (EMS) responses where naloxone was administered, and improvement was noted in patient records between initial and final Glasgow Coma Score. A subsample of all-cause EMS responses sites were used as controls and exact matched to cases on sex and 10-year-age category. Clustering was assessed using difference in Ripley's K function for cases and controls and Kulldorff scan statistics.

RESULTS

Difference in K functions indicated no significant difference in probable nonfatal overdose EMS runs across the study area compared to all-cause EMS runs. However, scan statistics did identify significant local clustering of probable nonfatal overdose EMS runs (maximum likelihood = 16.40, P = 0.0003).

CONCLUSIONS

Results highlight relevance of EMS data to detect community-level overdose activity and promote reliable use through stricter case definition criteria and advanced methodological approaches. Techniques examined have the potential to improve targeted delivery of neighborhood-level public health response activities using a near real-time data source.

Addressing Intersecting Housing and Overdose Crises in Vancouver, Canada: Opportunities and Challenges from a Tenant-Led Overdose Response Intervention in Single Room Occupancy Hotels

We examined the acceptability, feasibility, and implementation of the Tenant Overdose Response Organizers program (TORO)-a tenant-led naloxone training and distribution intervention. This pilot project was implemented in privately owned single room occupancy (SRO) hotels that were disproportionately affected by overdose in Vancouver's Downtown Eastside (DTES) neighborhood. Semi-structured qualitative interviews were conducted with 20 tenants who had participated in a TORO training session and administered naloxone to someone in their SRO hotel or had overdosed in their SRO hotel and received naloxone from another tenant. Focus groups were conducted with 15 peer workers who led the TORO program in their SRO building. Interviews and focus groups were transcribed and analyzed thematically. Ethnographic observation at SRO hotels involved in the intervention was also co-led with peer research assistants. Ten SROs were included in the study. The level of acceptability of the TORO program was high, with participants describing the urgency for an intervention amid the frequency of overdoses in their buildings. Overdose response training enhanced participants' knowledge and skills, and provided them a sense of recognition. Additionally, the TORO program was feasible in some buildings more than others. While it provided important training and engaged isolated tenants, there were structural barriers to program feasibility. The implementation of the TORO program was met with some successes in terms of its reach and community development, but participants also discussed a lack of emotional support due to overdose frequency, leading to burnout and vulnerability. Our findings suggest that the TORO program was affected by social, structural, and physical environmental constraints that impacted program feasibility and implementation. Despite these constraints, peer-led in-reach overdose response interventions are effective tools in addressing overdose risk in SROs. Future housing interventions should consider the intersecting pathways of overdose risk, including how these interventions may exacerbate other harms for people who use drugs. Further research should explore the impacts of environmental factors on overdose response interventions in other housing contexts.

Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia

This analysis uses network and spatial data to identify optimal individuals to target with overdose prevention interventions in rural Appalachia. Five hundred and three rural persons who use drugs were recruited to participate in the Social Networks among Appalachian People Study (2008-2010). Interviewer-administered surveys collected information on demographic characteristics, risk behaviors (including overdose history), network members, and residential addresses. We restricted the sample to individuals with at least one confirmed relationship to another study participant (N = 463). Using dyadic analyses (N = 1428 relationships), we identified relationship-level correlates of relationships with network members who have previously overdosed. We then examined individual- and network-level factors associated with (1) having at least one first-degree alter (i.e., network member) with a prior overdose and (2) each additional network member with a prior overdose (N = 463 study participants). Overall, 28% of the sample had previously overdosed and 57% were one-degree away from someone who previously overdosed. Relationships with those who had overdosed were characterized by closer residential proximity. Those with at least one network member who previously overdosed were more geographically central and occupied more central network positions. Further, the number of network members with an overdose history increased with decreasing distance to the town center, increasing network centrality, and prior enrollment in an alcohol detox program. Because fatal overdoses can be prevented through bystander intervention, these findings suggest that strategies that target more central individuals (both geographically and based on their network positions) and those who have previously enrolled in alcohol detox programs with overdose prevention training and naloxone may optimize intervention reach and have the potential to curb overdose fatalities in this region.

Lessons learned in methods and analyses for pragmatic studies

Pragmatic studies are common in nursing research. These studies range from secondary analysis of large observational datasets to prospective randomized multisite clinical trials. The common elements in pragmatic studies are the real-world settings in which the research occurs: settings that decrease threats to external validity, but may increase threats to internal validity of the research. This manuscript presents a pragmatic study and the methodological considerations in design and analytic approaches that were undertaken to decrease all threats to validity while maintaining study feasibility. A pragmatic study design and analytic choices are presented and evaluated. To increase robustness of the study and internal and external validity of findings, while maintaining feasibility, unique approaches to design and analyses were chosen. Like efficacy studies, pragmatic studies are essential to nursing research and require additional a priori considerations in design and analyses to increase internal validity of findings.

Geospatial Clustering of Opioid-Related Emergency Medical Services Runs for Public Deployment of Naloxone

Introduction

The epidemic of opioid use disorder and opioid overdose carries extensive morbidity and mortality and necessitates a multi-pronged, community-level response. Bystander administration of the opioid overdose antidote naloxone is effective, but it is not universally available and requires consistent effort on the part of citizens to proactively carry naloxone. An alternate approach would be to position naloxone kits where they are most needed in a community, in a manner analogous to automated external defibrillators. We hypothesized that opioid overdoses would show geospatial clustering within a community, leading to potential target sites for such publicly deployed naloxone (PDN).

Methods

We performed a retrospective chart review of 700 emergency medical service (EMS) runs that involved opioid overdose or naloxone administration in Cambridge, Massachusetts, between October 16, 2016 and May 10, 2017. We used geospatial analysis to examine for clustering in general, and to identify specific clusters amenable to PDN sites.

Results

Opioid-related emergency medical services (EMS) runs in Cambridge, Massachusetts (MA), exhibit significant geospatial clustering, and we identified three clusters of opioid-related EMS runs in Cambridge, MA, with distinct characteristics. Models of PDN sites at these clusters show that approximately 40% of all opioid-related EMS runs in Cambridge, MA, would be accessible within 200 meters of PDN sites placed at cluster centroids.

Conclusion

Identifying clusters of opioid-related EMS runs within a community may help to improve community coverage of naloxone, and strongly suggests that PDN could be a useful adjunct to bystander-administered naloxone in stemming the tide of opioid-related death.