Introduction: North Carolina's 2017 STOP Act implemented several measures to address the increasing opioid overdose death rate. However, due to racial differences prescription opioid use and treatment service access, the STOP Act may exhibit differential impacts by race. This study examined the impact of the STOP Act on opioid overdose deaths by race.
Methods: State-level secondary data were compiled for all 50 states. Race-stratified opioid overdose rates were obtained from the Centers for Disease Control and Prevention's WONDER database from 2010 to 2019. The study obtained state-level population characteristics from the Current Population Surveys from 2010 to 2016, the CDC's 2017 Drug Surveillance Report, the National Survey of Substance Abuse Treatment Services from 2011 to 2016, and the National Survey on Drug Use and Health from 2010 to 2016. We obtained outcomes from 2010 to 2019 and state characteristics were obtained for the pre-STOP Act period (2010-2016) as available. Using the synthetic control method, we created two synthetic North Carolinas, one Black/African American and one White, from a weighted average of other states similar to North Carolina in terms of pre-STOP Act race-stratified opioid overdose rates and population characteristics. Change was assessed as the difference in the race-stratified opioid overdose death rate for North Carolina the corresponding synthetic control.
Results: The opioid overdose death rate among the White population decreased by 7.17 and 8.96 deaths/100 k in 2018 and 2019 following the STOP Act (overall decrease p = .0217); however, the study found no significant change in the opioid overdose death rate among the Black/African American population (overall decrease p = .1053), with decreases 1.68 and 3.2 deaths/100 k in 2018 and 2019, respectively.
Conclusions: Our findings suggest that the STOP Act reduced the opioid overdose death rate in North Carolina among the White, but not Black/African American, population. This heterogeneous effect has implications for health equity and can inform the development of future substance use policies.
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http://dx.doi.org/10.1016/j.josat.2023.209171 | DOI Listing |
Cannabis
December 2024
Peter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton.
Objective: Little is known about the population-level impact of recreational cannabis legalization on trends in opioid-related mortality. Increased access to cannabis due to legalization has been hypothesized to reduce opioid-related deaths because of the potential opioid-sparing effects of cannabis. The objective of this study was to examine the relations between national retail sales of recreational (non-medical) cannabis and opioid overdose deaths in the 5 years following legalization in Canada.
View Article and Find Full Text PDFJ Surg (Lisle)
November 2024
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Purpose: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical patients, which can lead to severe complications. Accurately predicting postoperative opioid needs and understanding the associated factors can effectively guide appropriate opioid use, significantly enhancing patient safety and recovery outcomes. Although machine learning models can accurately predict postoperative opioid needs, lacking interpretability hinders their adoption in clinical practice.
View Article and Find Full Text PDFCureus
December 2024
Osteopathic Medicine/Internal Medicine, A.T. Still University, Mesa, USA.
Substance use disorders (SUDs) represent one of the leading causes of preventable death in the setting of overdose and comorbidities leading to mortality. A multi-database literature search limited to peer-reviewed articles within the last 10 years was conducted to compare treatment modalities used to treat SUDs. This literature review aims to provide a concise yet comprehensive summary of the various treatment modalities that exist to address these disorders in clinical practice.
View Article and Find Full Text PDFBiomedicine (Taipei)
December 2024
Division of Spine Surgery, Duke University Health, Durham, NC 27710, USA.
Introduction: Spine surgery is a common source of narcotic prescriptions and carries potential for long-term opioid dependence. As prescription opioids play a role in nearly 25 % of all opioid overdose deaths in the United States, mitigating risk for prolonged postoperative opioid utilization is crucial for spine surgeons.
Purpose: The aim of this study was to employ six ML algorithms to identify clinical variables predictive of increased opioid utilization across spinal surgeries, including anterior cervical discectomy and fusion (ACDF), posterior thoracolumbar fusion (PTLF), and lumbar laminectomy.
J Opioid Manag
January 2025
Froedtert & the Medical College of Wisconsin, Milwaukee, Wisconsin.
Objective: To implement an electronic health record best practice advisory (BPA) to promote coprescribing of naloxone to patients at high risk of serious opioid-related adverse events (ORADEs).
Design: This pre-post quasi-experimental study evaluated 9 months of opioid and naloxone prescription data before and after BPA implementation.
Setting: The Froedtert & the Medical College of Wisconsin enterprise is comprised of 45 ambulatory clinics and 10 hospitals, including the only adult Level 1 trauma center in eastern Wisconsin.
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