Socioeconomic and geographical disparities in prescription and illicit opioid-related overdose deaths in Orange County, California, from 2010–2014
Abstract
Background : Reports indicate a geographic effect of socioeconomic inequalities on the occurrence of opioid-related fatal overdoses. This study aims to (1) estimate the rates of opioid-related overdoses, (2) estimate the association of benzodiazepine co-ingestion with opioid-related deaths, (3) estimate associations between socioeconomic indicators and opioid-related deaths, and (4) map the distribution of fatal overdoses, in Orange County (OC), California. Methods : An ecologic study was conducted of all opioid- related deaths (1205 total) from 2010 to 2014 obtained from the OC Coroner Division database (1065 OC residents, 55 nonresidents, 85 OC homeless) (analyzed 2016–2017). Rates of opioid overdose, benzodiazepine co-ingestion prevalence, and associations with socioeconomic status (SES; education, poverty, median income) using ZIP code analysis in the residential and homeless communities were calculated. Results : Of 1205 deaths, 904 involved prescription-type opioids, 223 involved heroin, 39 involved both, and 39 not stated; 973 were classified unintentional overdoses, 180 suicides, and 52 undetermined; 49% of cases involved benzodiazepines. Prescription-type opioid and heroin death rates for residents were 5.4/ 100,000 person-years (95% confidence interval [CI]: 5.0–5.8) and 1.2/100,000 person-years (95% CI: 1.0–1.4), respectively. Males, age group 45–54, and Caucasian race had the highest rate (13.6/100,000) of opioid mortality. The highest death rates were seen in homeless adults, at 136/100,000 person-years for prescription-type opioids (95% CI: 99.0–185.5) and 156/100,000 person-years for heroin (95% CI: 116.8–209.5). Conclusions : The burden of prescription-type opioid–related deaths in OC affects all demographics and levels of SES; there is a disproportionately high rate of opioid-related deaths in the OC homeless population.
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Higher opioid use is found in regions with higher rates of unemployment and Medicaid enrollment.
“The CDC has examined county-level factors associated with prescribing patterns and have found higher opioid use in regions with higher rates of unemployment and Medicaid enrollment (54).”
From A Biopsychosocial Overview of the Opioid Crisis: Considering Nutrition and Gastrointestinal Health (2019) · cites this paper as [54]
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References 16 · Cited by 55
- Authors
- Marshall, J. R., Gassner, S. F., Anderson, C. L., Cooper, R. J., Lotfipour, S., & Chakravarthy, B.
- Affiliations
- University of California, Irvine (US)
- University of Miami (US)
- University of California, Los Angeles (US)
- Corresponding author
- Marshall, John R.
- Venue
- Substance Abuse
- Publisher
- SAGE Publications
- Published
- 2019-01
- Volume
- 40
- Issue
- 1
- Pages
- 80-86
- ISSN
- 0889-7077 (ISSN-L)
- 1547-0164
- OpenAlex
- W2792901642
- Cited by
- 55
- References
- 16
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 8 · 2023: 7 · 2022: 9 · 2021: 8 · 2020: 8 · 2019: 5 · 2018: 3
- FWCI
- 5.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Substance Abuse (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- opioid overdose deaths, prescription opioids, heroin, socioeconomic disparities, geographic disparities, homelessness, socioeconomic status, Orange County, California, unintentional overdose, suicide, opioid prescribing patterns
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Analgesics, Opioid, Benzodiazepines, California, Female, Humans, Male, Middle Aged, Sex Factors, Socioeconomic Factors, Illicit Drugs, Time Factors, Prescription Drugs, Young Adult, Geography, Medical, Drug Overdose
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