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1.
Subst Abus ; 42(2): 161-167, 2021.
Article in English | MEDLINE | ID: mdl-31644388

ABSTRACT

BACKGROUND: Opioid use disorder has recently been declared a public health emergency, yet it is unknown whether opioid prescribing patterns have changed over time. Our objective is to examine opioid prescribing behavior and overdose fatalities in one large state prior to state-mandated usage of a prescription drug monitoring program (PDMP). Methods: We relied on de-identified longitudinal data from state and national databases for opioid prescriptions and overdose deaths in Texas between 2013 and 2017. Descriptive statistics and trend analyses were used to assess proportional differences and changes over time. Results: Prescriptions for opioids represented over 45% of the total controlled medications dispensed across the entire period. This equates to roughly 17.7 million opioid prescriptions dispensed per year, or 63.7 opioid prescriptions per 100 persons, slightly less than the reported national average. Hydrocodone was the most widely prescribed opioid (32.9%), followed by tramadol (26.9%) and codeine (21.5%). The overall controlled substance prescribing rate appears to be decreasing in the latest year, and the composition of opioids has shifted. We found a reduction in schedule II medications (such as hydrocodone and fentanyl) and increase in schedule IV medications such as tramadol. At the same time, total overdose fatalities increased 42% during this time, and population-adjusted rates increased 34% to 5.87 deaths per 100,000 persons. Conclusions: While prescribing rates have decreased in Texas, overdose deaths from both legal and illicit opioids are rising, suggesting that changing physician prescribing behavior alone may not be sufficient to curb the epidemic. Policies and community interventions should be considered to address increases in both prescription and illicit opioid deaths.


Subject(s)
Analgesics, Opioid , Drug Overdose , Analgesics, Opioid/therapeutic use , Drug Overdose/drug therapy , Drug Prescriptions , Humans , Hydrocodone , Practice Patterns, Physicians' , Texas/epidemiology
3.
J Addict Med ; 13(6): 476-482, 2019.
Article in English | MEDLINE | ID: mdl-30844879

ABSTRACT

INTRODUCTION: With opioid-related deaths reaching epidemic levels, gaining a better understanding of access to treatment for opioid use disorder (OUD) is critical. Most studies have focused on 1 side of the equation-either provider capacity or patients' need for care, as measured by overdose deaths. This study examines the overlay between treatment program availability and opioid mortality, comparing accessibility by region. METHODS: Geospatial and statistical analyses were used to model OUD treatment programs relative to population density and opioid overdose death incidence at the state and county level. We computed a ratio between program capacity and mortality called the programs-per-death (PPD) ratio. RESULTS: There were 40 274 opioid deaths in 2016 and 12 572 treatment programs across the contiguous 48 states, yielding a ratio of 1 program for every 3.2 deaths. Texas had the lowest number of treatment programs per 100 000 persons (1.4) and Maine the highest (13.2). West Virginia ranked highest in opioid deaths (39.09 per 100 000). Ohio, the District of Columbia, and West Virginia had the greatest mismatch between providers and deaths, with an average of 1 program for every 8.5 deaths. Over 32% of US counties had no treatment programs and among those with >10 deaths, nearly 2.5% had no programs. Over 19% of all counties had a ratio ≤1 provider facility per 10 deaths. CONCLUSION: Assessing the overlay between treatment capacity and need demonstrated that regional imbalances exist. These data can aid in strategic planning to correct the mismatch and potentially reduce mortality in the most challenged geographic regions.


Subject(s)
Drug Overdose/mortality , Health Services Accessibility/statistics & numerical data , Opiate Substitution Treatment/statistics & numerical data , Opioid-Related Disorders/mortality , Practice Patterns, Physicians'/statistics & numerical data , Drug Overdose/prevention & control , Humans , Opioid-Related Disorders/drug therapy , Policy Making , United States/epidemiology
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