Background: Opioid pain relievers can be highly effective in providing relief for patients suffering from pain. At the same time, prescription opioid abuse, dependence, overdose, and poisoning (hereinafter "abuse") have become a national public health concern. Opioid abuse is also costly: previous estimates of the annual excess costs of opioid abuse to payers range from approximately $10,000 to $20,000 per patient.
Objectives: To (a) provide a comprehensive, current estimate of the economic burden of opioid abuse to commercial payers and (b) explore the drivers of these excess costs of abuse.
Methods: Administrative claims from beneficiaries covered by large self-insured companies throughout the United States were used to identify patients diagnosed with opioid abuse, dependence, and overdose/poisoning ("abuse") between 2012 and 2015. Sample selection criteria identified patients most likely to be misusing opioids. Abusers and nonabuser controls were matched using propensity scores. Excess health care costs were assessed over the 18-month study period. Drivers of excess costs were then evaluated by place of service and medical condition (identified as 3-digit ICD-9-CM groupings).
Results: 9,342 matched abuser/nonabuser pairs were analyzed. Relative to nonabusers, abusers had significantly higher annual health care resource utilization, leading to $14,810 in per-patient incremental annual health care costs. Excess costs began accumulating 5 months before the formal, incident diagnosis of abuse, driven by alcohol and nonopioid substance abuse. Major drivers of excess costs of abuse included opioid and other substance abuse disorders, mental health conditions, and painful conditions. Many patients had diagnoses for other substance abuse that predated their opioid abuse diagnoses.
Conclusions: Opioid abuse imposes a substantial economic burden on payers and often occurs in the context of other substance abuse. Poly-substance abuse often precedes the diagnosis of opioid abuse.
Disclosures: This study was funded by Purdue Pharma. Mayne is an employee of Purdue Pharma. Kirson, Scarpati, and Birnbaum are employees of Analysis Group, which received funding from Purdue Pharma to conduct this study. Enloe and Dincer were employees of Analysis Group at the time this research was conducted. Study concept and design were contributed by Kirson, Birnbaum, Mayne, and Scarpati, along with Enloe and Dincer. Enloe and Dincer took the lead in data collection, along with Birnbaum and assisted by Kirson and Scarpati. Data interpretation was performed by all the authors. The manuscript was written and revised by Kirson and Scarpati, along with Mayne and Birnbaum.
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http://dx.doi.org/10.18553/jmcp.2017.16265 | DOI Listing |
BMC Psychiatry
January 2025
School of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
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Elife
January 2025
Department of Pharmaceutical Sciences, University of Kentucky, Lexington, United States.
Reversing opioid overdoses in rats using a drug that does not enter the brain prevents the sudden and severe withdrawal symptoms associated with therapeutics that target the central nervous system.
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Program in Addiction Medicine, Yale School of Medicine, New Haven, CT, United States.
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View Article and Find Full Text PDFBiostatistics
December 2024
Department of Statistical Sciences, College of Arts and Sciences, Wake Forest University, 127 Manchester Hall, Winston-Salem, NC, 27109, United States.
The opioid epidemic is a significant public health challenge in North Carolina, but limited data restrict our understanding of its complexity. Examining trends and relationships among different outcomes believed to reflect opioid misuse provides an alternative perspective to understand the opioid epidemic. We use a Bayesian dynamic spatial factor model to capture the interrelated dynamics within six different county-level outcomes, such as illicit opioid overdose deaths, emergency department visits related to drug overdose, treatment counts for opioid use disorder, patients receiving prescriptions for buprenorphine, and newly diagnosed cases of acute and chronic hepatitis C virus and human immunodeficiency virus.
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