Suchergebnisse

In this paper we examine the changing demographics of overdose deaths in West Virginia based upon death certificate and economic data in West Virginia for the years 2001–2016. During the period under study, opioid overdose deaths accounted for 7% of deaths overall, and a significant number of premature deaths. Those affected were an average of 41 years old and were more likely to be unmarried and less than college educated. Eighty percent were employed at the time of death and individual employment in specific industries was associated with an increased risk of opioid overdose death. Previous state and national level policies attempting to address the opioid crisis may have lagged behind the data trends for this time period and thus been less effectual. Future policies intended to ameliorate the harms associated with the opioid crisis should reflect current data trends to help the communities and individuals at high risk for overdose death.

We examined the content of tweets on the social media site Twitter to better understand the contemporary discourse about medications for opioid use disorder (MOUD), how this chat contributes to the pervasive underpinnings of drug addiction, chronic pain stigma, and the impact it has on demand and availability of treatment. A retrospective review of tweets over 3 months containing keywords buprenorphine, naltrexone, methadone, or bupe was conducted resulting in 5,068 tweets. A content analysis was carried out focusing on a subset of tweets. Themes emerged from including suspicion and conspiracy theories about MOUD, and frustration and lack of control over their treatment options. Other tweets shared stigmatizing language and attitudes related to OUD/MOUD (e.g., "Junkies"). Twitter is a rich source of data reflecting thoughts, opinions, and sentiments entities regarding MOUD. However, this information can contain malicious comments that perpetuate stigma for people with OUD and result in avoidance of treatment.

BACKGROUND: The Opioid Reduction Act (SB 273) took effect in West Virginia in June 2018. This legislation limited ongoing chronic opioid prescriptions to 30 days' supply, and first-time opioid prescriptions to 7 days' supply for surgeons and 3 days' for emergency rooms and dentists. The purpose of this study was to determine the effect of this legislation on reducing opioid prescriptions in West Virginia, with the goal of informing future similar policy efforts. METHODS: Data were requested from the state Prescription Drug Monitoring Program (PDMP) including overall number of opioid prescriptions, number of first-time opioid prescriptions, average daily morphine milligram equivalents (MME) and prescription duration (expressed as "days' supply") given to adults during the 64 week time periods before and after legislation enactment. Statistical analysis was done utilizing an autoregressive integrated moving average (ARIMA) interrupted time series analysis to assess impact of both legislation announcement and enactment while controlling secular trends and considering autocorrelation trends. Benzodiazepine prescriptions were utilized as a control. RESULTS: Our analysis demonstrates a significant decrease in overall state opioid prescribing as well as a small change in average daily MME associated with the date of the legislation's enactment when considering serial correlation in the time series and accounting for pre-intervention trends. There was no such association found with benzodiazepine prescriptions. CONCLUSION: Results of the current study suggest that SB 273 was associated with an average 22.1% decrease of overall opioid prescriptions and a small change in average daily MME relative to the date of legislative implementation in West Virginia. There was, however, no association of the legislation on first-time opioid prescriptions or days' supply of opioid medication, and all variables were trending downward prior to implementation of SB 273. The control demonstrated no relationship to the law. SUPPLEMENTARY ...