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1.
J Addict Dis ; : 1-5, 2023 Mar 06.
Article in English | MEDLINE | ID: mdl-36876385

ABSTRACT

The present study aims to compare Years of Life Lost for unintentional drug overdose and the leading underlying causes of death in the United States annually from 2017 to 2019. Years of Life Lost provide valuable context to incident deaths when comparing the relative mortality burden of underlying causes of death. Prior research has shown unintentional drug overdose was the third leading cause of Years of Life Lost in the state of Ohio in 2017. However, this finding has yet to be replicated at the national level in the US. Death statistics for 2017-2019 were accessed via CDC WONDER. Years of Life Lost were calculated for unintentional drug overdose and each of the top five causes of incident deaths in the US during the study period. Unintentional drug overdose caused nearly seven million Years of Life Lost in the US during the three-year period of study and was the fourth leading cause of Years of Life Lost after cancer, heart disease and other accidents. Incidence alone provides an incomplete picture of the effect of unintentional drug overdose on overall mortality burden in the US. Years of Life Lost give critical context to the overdose crisis, underscoring unintentional drug overdose as a leading cause of premature mortality.

2.
Drug Alcohol Depend ; 221: 108637, 2021 04 01.
Article in English | MEDLINE | ID: mdl-33657469

ABSTRACT

BACKGROUND: Emerging evidence suggests the composition of local illicit drug markets varies over time and the availability and relative lethality of illicit drugs may contribute to temporal trends in overdose mortality. Law enforcement drug seizures represent a unique opportunity to sample the makeup of local drug markets. Prior research has associated shifts in the types of drugs seized and trends in unintentional drug overdose mortality. The present report builds on this work by demonstrating a novel methodology, the Street-Drug Lethality Index, which may serve as a low-lag predictor of unintentional overdose deaths. METHODS: Data included administrative records of law enforcement drug seizures and unintentional drug overdose deaths in Ohio from 2009 -to- 2018. Death records and lab results from drug seizures occurring during the calendar year 2017 were transformed via the described procedure to create lethality indices for individual drugs. These indices were then summed annually to create the independent variable for a linear regression model predicting unintentional overdose deaths for all years during the study period. RESULTS: The regression model explained 93 % of the year-to-year variance in unintentional overdose fatalities (slope = 0.009480; CI = 0.007369 to 0.011590; t10 = 10.355942; P = 0.000007; Y = 11.808982 + 0.009480X, r2 = 0.931). CONCLUSION: These findings contribute to a growing body of evidence that changes in the composition of the drug supply may predict trends in unintentional overdose mortality. The proposed methodology might inform future overdose prevention and response efforts as well as research.


Subject(s)
Drug Overdose/diagnosis , Drug Overdose/mortality , Illicit Drugs/adverse effects , Law Enforcement/methods , Population Surveillance/methods , Adult , Chromatography, Gas/methods , Female , Humans , Male , Ohio/epidemiology , Predictive Value of Tests
5.
J Addict Med ; 14(2): 156-162, 2020.
Article in English | MEDLINE | ID: mdl-31592905

ABSTRACT

OBJECTIVES: The aim of the study was to quantify the burden of premature mortality because of opioid overdose in Ohio, document the role of fentanyl poisoning in contribution to this evolving epidemic, examine geographic, demographic, and temporal patterns of mortality burden within Ohio, and measure the effect of opioid overdose on lifespan in the state. METHODS: A serial cross-sectional analysis was performed for all fatal opioid poisonings (N = 12,782) in the state of Ohio between January 1, 2010 and December 31, 2016. The burden of fatal opioid overdose was calculated in Years of Life Lost (YLL). YLL were mapped with respect to geographic and cultural region. The geographic spread of fentanyl poisoning was also mapped, and the shifting contribution of fentanyl poisoning to overall opioid mortality burden was assessed over time. Finally, the negative effect of opioid overdose on average lifespan was calculated. RESULTS: Opioid overdose resulted in 508,451 total YLL. In the year 2016 alone, there were 136,679 YLL attributable to opioid poisoning. Fentanyl-related YLL rose from 7.5% of all YLL because of opioid overdose in 2010 to 69.0% in 2016. In the same year, opioid overdose lowered the lifespan of an average Ohioan by 0.97 years. CONCLUSIONS: Fatal opioid overdose accounted for over half a million YLL in Ohio during the 7-year study period. Opioid overdose mortality rose annually. Fentanyl involved overdoses accounted for a growing proportion of excess mortality. Burden was not equally distributed within the state. Two distinct geographical clusters of excess mortality were identified in the northeast and south.


Subject(s)
Analgesics, Opioid/poisoning , Opiate Overdose/mortality , Spatio-Temporal Analysis , Adolescent , Adult , Aged , Aged, 80 and over , Analgesics, Opioid/administration & dosage , Child , Child, Preschool , Cross-Sectional Studies , Female , Fentanyl/administration & dosage , Fentanyl/poisoning , Humans , Infant , Infant, Newborn , Male , Middle Aged , Ohio/epidemiology , Young Adult
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