Drug-related causes of death: Socioeconomic and demographic characteristics of the deceased

Self-Reported Disability Type and Risk of Alcohol-Induced Death - A Longitudinal Study Using Nationally Representative Data

BACKGROUND

Disability is associated with alcohol misuse and drug overdose death, however, its association with alcohol-induced death remains understudied.

OBJECTIVE

To quantify the risk of alcohol-induced death among adults with different types of disabilities in a nationally representative longitudinal sample of US adults.

METHODS

Persons with disabilities were identified among participants ages 18 or older in the Mortality Disparities in American Communities (MDAC) study (n = 3,324,000). Baseline data were collected in 2008 and mortality outcomes were ascertained through 2019 using the National Death Index. Adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated for the association between disability type and alcohol-induced death, controlling for demographic and socioeconomic covariates.

RESULTS

During a maximum of 12 years of follow-up, 4000 alcohol-induced deaths occurred in the study population. In descending order, the following disability types displayed the greatest risk of alcohol-induced death (compared to adults without disability): complex activity limitation (aHR = 1.7; 95% CI = 1.3-2.3), vision limitation (aHR = 1.6; 95% CI = 1.2-2.0), mobility limitation (aHR = 1.4; 95% CI = 1.3-1.7), ≥2 limitations (aHR = 1.4; 95% CI = 1.3-1.6), cognitive limitation (aHR = 1.2; 95% CI = 1.0-1.4), and hearing limitation (aHR = 1.0; 95% CI = 0.9-1.3).

CONCLUSIONS

The risk of alcohol-induced death varies considerably by disability type. Efforts to prevent alcohol-induced deaths should be tailored to meet the needs of the highest-risk groups, including adults with complex activity (i.e., activities of daily living - "ALDs"), vision, mobility, and ≥2 limitations. Early diagnosis and treatment of alcohol use disorder within these populations, and improved access to educational and occupational opportunities, should be considered as prevention strategies for alcohol-induced deaths.

Is alcohol and psychoactive medication use associated with excess hospital length-of-stay and admission frequency? A cross-sectional, observational study

BACKGROUND

Hospital length-of-stay and admission frequency are commonly used indicators of disease burden and health resource expenditures. However, the impact of psychoactive prescription medication use and harmful alcohol consumption on both the duration and frequency of hospital admissions is under-explored.

METHODS

We conducted an analysis of data gathered from 2872 patients admitted to the Emergency Department at Lovisenberg Diaconal Hospital in Oslo, Norway. Psychoactive medicines (benzodiazepines, opioids, and z-hypnotics) were detected via liquid chromatography-mass spectrometry analysis of whole blood, while alcohol consumption was self-reported through the Alcohol Use Disorder Identification Test-4 (AUDIT-4). Using logistic regression, we examined associations with our primary outcomes, which were excess length-of-stay and admission frequency, defined as exceeding the sample median of 3.0 days and 0.2 admissions per year, respectively.

RESULTS

Compared to the absence of psychoactive medication, and after adjusting for age, gender, malignant disease, pre-existing substance use disorder and admission due to intoxication, the detection of two or more psychoactive medicines was associated with both excess length-of-stay (odds ratio [OR], 1.60; 95% confidence interval [CI], 1.20 to 2.14) and yearly hospitalization rate (OR, 3.72; 95% CI, 2.64 to 5.23). This association persisted when increasing the definition for excess length-of-stay to 4 and 5 days and to 1.0 and 1.5 admissions per year for admission frequency. Harmful alcohol consumption (AUDIT-4 scores of 9 to 16) was not associated with excess length-of-stay, but with excess admission frequency when defined as more than 1.0 admission per year when compared to scores of 4 to 6 (OR, 2.68; 95% CI, 1.58 to 4.57).

CONCLUSIONS

Psychoactive medication use is associated with both excess length-of-stay and increased antecedent admission frequency, while harmful alcohol consumption may be associated with the latter. The utility of our findings as a causal factor should be explored through intervention-based study designs.

Patterns of filled prescriptions and the association with risk of drug-induced death. A population-based nested case-control register study

PURPOSE

Opioid analgesics (OA) and other pharmaceuticals have been associated with drug-induced deaths. However, there is a lack of knowledge regarding patterns of use of these pharmaceuticals in the population and regarding such associations. We identify and describe subgroups of people with different patterns of filled prescriptions of OA and other relevant pharmaceuticals and examine associations with drug-induced deaths. In addition, we estimate the proportion of drug-induced deaths with a filled OA prescription and OA as cause of death.

METHODS

A Norwegian population-based nested case-control register study with cases (drug-induced deaths 2010-2018, N = 2388) and population controls matched for age, gender and year of inclusion (N = 21 465). Patterns of filled prescriptions for opioid analgesics (OA), benzodiazepines and benzodiazepine-related drugs, gabapentinoids, ADHD medication and antidepressants/antipsychotics were explored by k-means cluster analysis. Associations with drug-induced deaths were estimated by conditional logistic regression adjusted for sociodemographic characteristics. Overlap of filled OA prescriptions and OA as cause of death was estimated.

RESULTS

Five clusters were identified: 'few prescriptions', 'weak OA', 'ADHD medication', 'sedative/psychiatric morbidity' and 'strong OA'. The 'strong OA' cluster had higher socioeconomic status compared to the other groupings. The risk of drug-induced death was also highest in this cluster (OR = 35.5; CI 25.6-49.3) and, for 68% (CI 64-73) of cases, filled prescriptions for OA was indicated as the underlying cause of death.

CONCLUSIONS

The cluster analysis identified a subgroup with filled prescriptions of OA and other pharmaceuticals and a higher socioeconomic status than other subgroups. This subgroup had a high risk of drug-induced death that needs to be addressed.

No decline in drug overdose deaths in Norway: An ecological approach to understanding at-risk groups and the impact of interventions

Aim: This Norwegian case study examines groups at risk of drug overdose deaths, evidence-based harm reduction interventions, low-threshold services and treatment implemented, as well as trends in drug overdose deaths between 2010 and 2021. We aimed to explore the relevance of interventions for at-risk groups and discuss their potential impact on drug overdose trends. Method/data: Using an ecological approach, we analysed the following: (1) groups identified through latent profile analysis (LPA) among a sample of 413 high-risk drug users collected in 2010-2012, supplemented with other relevant studies up to 2021; (2) published information on harm-reduction interventions, low-threshold services and treatment in Norway; and (3) nationwide drug overdose mortality figures supplemented with published articles on the topic. Results: High-risk drug users in 2010-2012 commonly engaged in frequent illegal drug use, injecting and poly-drug use (including pharmaceutical opioids), which continued into following decade. The interventions implemented between 2010 and 2021 were relevant for at-risk groups identified in the surveys. However, there was no decrease in the trend of drug overdose deaths up to 2021. While relevant interventions may have mitigated a theoretical increase in mortality, new at-risk groups may have contributed to fatal outcomes associated with pharmaceutical opioids. Conclusion: The interventions were relevant to the risk groups identified among high-risk drug users and potentially effective in preventing an increase in drug overdose trends. However, tailored interventions are needed for individuals at risk of death from prescribed opioids. Comprehensive studies encompassing all at-risk populations, including both legal and non-medical users of prescription opioids, are needed.

The risk of drug overdose death among adults with select types of disabilities in the United States - A longitudinal study using nationally representative data

BACKGROUND

Disability is associated with increased risk of drug overdose mortality, but previous studies use coarse and inconsistent methods to identify adults with disabilities. This investigation makes use of the U.S. Department of Health and Human Services disability questions to estimate the risk of drug overdose death among U.S. adults using seven established disability categories.

METHODS

The longitudinal Mortality Disparities in American Communities study was used to determine disability status among a nationally representative sample of adults age ≥18 in 2008 (n = 3,324,000). Through linkage to the National Death Index, drug overdose deaths were identified through 2019. Adults in mutually-exclusive disability categories (hearing, vision, cognitive, mobility, complex activity, ≥2 limitations) were compared to adults with no reported disabilities using adjusted hazard ratios (aHRs) and controlling for demographic and socioeconomic covariates.

RESULTS

The risk of drug overdose death varied considerably by disability type, as adults in some disability categories displayed only marginally significant risk, while adults in other disability categories displayed substantially elevated risk. Compared to non-disabled adults, the risk of drug overdose death was highest among adults with ≥2 limitations (aHR = 3.0, 95% CI = 2.8-3.3), cognitive limitation (aHR = 2.6, 95% CI = 2.3-2.9), mobility limitation (aHR = 2.6, 95% CI = 2.3-2.9), complex activity limitation (aHR = 2.3, 95% CI = 1.8-2.9), hearing limitation (aHR = 1.6, 95% CI = 1.3-1.9), and vision limitation (aHR = 1.3, 95% CI = 1.0-1.7).

CONCLUSIONS

The examination of specific disability categories revealed unique associations that were not apparent in previous research. These findings can be used to focus overdose prevention efforts on the populations at greatest risk for drug-related mortality.

Risks and overdose responses: Participant characteristics from the first seven years of a national take-home naloxone program

BACKGROUND

In 2014, the Norwegian government funded a large-scale take-home naloxone (THN) program to address high overdose mortality rates. The aims of this study are to describe characteristics among persons trained to receive THN, describe actions taken following THN use at an overdose event and to explore factors associated with naloxone use.

METHODS

This was a prospective cohort study of individuals who received THN from 2014 to 2021. Descriptive characteristics were collected at initial training. When returning for refill, participants reported on their previous naloxone use. In a multivariable logistic regression model exploring associations with naloxone use: gender, age, opioid use history, concomitant drug use, injecting, history of experienced or witnessed overdose were included.

RESULTS

In total, 3527 individuals were included in this study. There were 958 individuals who returned for refills 2303 times. Most participants were male (63.6%), with a history of opioid use (77.5%). Those who reported naloxone use were more likely to have a history of opioid use (aOR= 4.1; 95% CI=2.77,6.1), were younger (aOR=0.98; 95% CI=0.97,0.99) and had witnessed overdoses (aOR=3.3; 95% CI=1.98,5.34). Among current opioid users, the odds were higher for injectors (aOR=1.57; 95% CI=1.18,2.1). Naloxone use was reported 1282 times. Additional actions such as waking the person and calling the ambulance were frequently reported. Survival was reported in almost all cases (94%).

CONCLUSION

People who use drugs are a suitable target group for THN-programs, as they seem to be willing and capable to reverse overdoses effectively. Given their personal risk factors for overdosing, recipients will likely also benefit from overdose prevention education.

Spatial clustering of heroin-related overdose incidents: a case study in Cincinnati, Ohio

Background

Drug overdose is one of the top leading causes of accidental death in the U.S., largely due to the opioid epidemic. Although the opioid epidemic is a nationwide issue, it has not affected the nation uniformly.

Methods

We combined multiple data sources, including emergency medical service response, American Community Survey data, and health facilities datasets to analyze distributions of heroin-related overdose incidents in Cincinnati, Ohio at the census block group level. The Ripley’s K function and the local Moran’s I statistics were performed to examine geographic variation patterns in heroin-related overdose incidents within the study area. Then, conditional cluster maps were plotted to examine a relationship between heroin-related incident rates and sociodemographic characteristics of areas as well as the resources for opioid use disorder treatment.

Results

The global spatial analysis indicated that there was a clustered pattern of heroin-related overdose incident rates at every distance across the study area. The univariate local spatial analysis identified 7 hot spot clusters, 27 cold spot clusters, and 1 outlier cluster. Conditional cluster maps showed characteristics of neighborhoods with high heroin overdose rates, such as a higher crime rate, a high percentage of the male, a high poverty level, a lower education level, and a lower income level. The hot spots in the Southwest areas of Cincinnati had longer distances to opioid treatment programs and buprenorphine prescribing physicians than the median, while the hot spots in the South-Central areas of the city had shorter distances to those health resources.

Conclusions

Our study showed that the opioid epidemic disproportionately affected Cincinnati. Multi-phased spatial clustering models based on various data sources can be useful to identify areas that require more policy attention and targeted interventions to alleviate high heroin-related overdose rates.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13557-3.

Socioeconomic marginalization and opioid-related overdose: A systematic review

BACKGROUND

Socioeconomic marginalization (SEM) is an important but under-explored determinant of opioid overdose with important implications for health equity and associated public policy initiatives. This systematic review synthesizes evidence on the role of SEM in both fatal and non-fatal overdose among people who use opioids.

METHODS

Studies published between January 1, 2000 and March 31, 2018 were identified through searching electronic databases, citations, and by contacting experts. The titles, abstracts, citation information, and descriptor terms of citations were screened by two team members. Data were synthesized using the lumping technique.

RESULTS

A total of 37 studies met inclusion criteria and were included in the review, with 34 of 37 finding a significant association between at least one socioeconomic factor and overdose. The included studies contained variables related to eight socioeconomic factors: criminal justice system involvement, income, employment, social support, health insurance, housing/homelessness, education, and composite measures of socio-economic status. Most studies found associations in the hypothesized direction, whereby increased SEM was associated with a higher rate or increased likelihood of the overdose outcome measured. The review revealed an underdeveloped evidence base.

CONCLUSIONS

Nearly all reviewed studies found a connection between a socioeconomic variable and overdose, but more research is needed with an explicit focus on SEM, using robust and nuanced measures that capture multiple dimensions of disadvantage, and collect data over time to better inform decision making around opioid overdose.

A Biopsychosocial Overview of the Opioid Crisis: Considering Nutrition and Gastrointestinal Health

The opioid crisis has reached epidemic proportions in the United States with rising overdose death rates. Identifying the underlying factors that contribute to addiction vulnerability may lead to more effective prevention strategies. Supply side environmental factors are a major contributing component. Psychosocial factors such as stress, trauma, and adverse childhood experiences have been linked to emotional pain leading to self-medication. Genetic and epigenetic factors associated with brain reward pathways and impulsivity are known predictors of addiction vulnerability. This review attempts to present a biopsychosocial approach that connects various social and biological theories related to the addiction crisis. The emerging role of nutrition therapy with an emphasis on gastrointestinal health in the treatment of opioid use disorder is presented. The biopsychosocial model integrates concepts from several disciplines, emphasizing multicausality rather than a reductionist approach. Potential solutions at multiple levels are presented, considering individual as well as population health. This single cohesive framework is based on the interdependency of the entire system, identifying risk and protective factors that may influence substance-seeking behavior. Nutrition should be included as one facet of a multidisciplinary approach toward improved recovery outcomes. Cross-disciplinary collaborative efforts, new ideas, and fiscal resources will be critical to address the epidemic.

Social determinants of drug-related mortality in a general population

BACKGROUND

We investigated the association between social determinants and a broad selection of drug-related deaths in a general population.

METHODS

We conducted a follow-up of an 11% random sample of working-age Finnish residents for 1996-2007 linked with an oversampling of deaths and population registration data on social characteristics. We defined total drug-related deaths as those from psychoactive substance use disorders and drug-induced poisonings (drug-induced deaths) as well as drug-related accidents, homicides, illnesses, and suicides.

RESULTS

The number of drug-related deaths was three times that of drug-induced deaths. We found the highest hazard ratios (HRs) for total drug-related mortality for long-term unemployment (4.9; 95% confidence interval [CI], 4.3-5.6), short-term unemployment (3.9; 95% CI, 3.5-4.4), and retirement (5.8; 95% CI, 5.1-6.8). The HRs were highest for mortality related to psychoactive substance use disorders and lowest for mortality related to drug-related suicides. The differences were large for both sexes.

CONCLUSIONS

Drug-related mortality was associated with social disadvantage; however, the strength of the association varied by drug-related cause of death. Primary and secondary prevention of drug use should particularly target disadvantaged groups.

Lack of overlap and large discrepancies in the characteristics of the deceased in two sources of drug death. A linkage study of the Cause of Death and the Police Registries in Norway 2007-2009

BACKGROUND

Registries for drug deaths may include different persons and provide different characteristics of the deceased. The aim of this study was to establish whether a database of drug-induced deaths (Cause of Death Registry (CDR) using the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) definition and the Police registry of drug deaths) included the same persons and provided the same characteristics of the deceased and thus yielded the same information for establishing targeted prevention measures.

METHODS

Notifications from 2007 to 2009 were drawn from the CDR and the police registry of drug deaths and the unique Norwegian personal identification number was used to match the registrations.

RESULTS

The two sources of drug deaths yielded 1384 registrations, encompassing 929 individuals of whom only 49% were included in both registries. A large proportion of the deceased (40%) were not listed in the police registry. This group was older (mean age 43 years vs. 35 years); dependence and suicide were listed more often as cause of death (33% vs. 8%); and heroin was listed less often as the type of drug causing death (24% vs. 67%) than those included in both registries. In particular, among women not included in the police registry, the cause of death was identified with much greater frequency as pharmaceuticals with morphine or codeine (47% vs. 16%).

CONCLUSION

The large discrepancies in size, overlap, and characteristics of the deceased included in two sources of drug death imply that prevention measures based on the two sources will differ.