Differences in prescribing patterns of opioid dependence drugs among patients with primary alcohol use problems and opioid use disorders within New York State by social determinant factors, 2005-2018.

BACKGROUND: The increase in alcohol use problems and opioid use disorder (OUD) highlights the need for research on effective medication treatments for patients with dual diagnoses. OBJECTIVES: This study analyzed trends and social disparities in prescribing OUD medications for patients who initially had alcohol use problems and later received their first OUD diagnosis. METHODS: This study utilized merged data from the New York State Office of Addiction Services and Supports and the Medicaid to analyze individuals aged 18 and older who initially had primary alcohol use problems and later had OUD for the first time between 2005 and 2018. It examined the rates of new buprenorphine and naltrexone prescriptions across various demographic and socioeconomic groups. RESULTS: Among 27,029 clients, the average rate of new buprenorphine was 64.23 per 1,000 clients (95% CI [61.30, 67.15]), with upward trends. The 18-35 age group had the highest buprenorphine utilization (111.48 per 1,000 clients), and highest increase rates compared to other age groups. The White non-Hispanic group had the highest rates of buprenorphine (119.23 per 1000 clients) and showed larger increase over time compared to other race/ethnicity groups. Disabled patients showed slower increasing rates of buprenorphine compared to other groups. Upward trends were observed in naltrexone. All observed differences were statistically significant (P<0.05). CONCLUSIONS: Trends showed increased use of OUD medications, with varying rates of buprenorphine utilization across different ages, races, and employment statuses. Despite this, the rates of receiving new buprenorphine remained low, suggesting a need for innovative methods to expand access to treatments.

Incidence, Timing and Social Correlates of the Development of Opioid Use Disorder Among Clients Seeking Treatment for an Alcohol Use Problem: Changes Over the Three Waves of the Opioid Epidemic.

Introduction: Opioid use disorder (OUD) and opioid overdose (OD) have shown to be strongly associated with alcohol use disorder (AUD). As a potential target population for secondary prevention, we examined the incidence and timing of OUD/OD among clients seeking treatment for alcohol problems and how this has changed over the three waves of the opioid epidemic corresponding to the primary opioid involved in fatal ODs, prescription painkillers (2007-2009), heroin (2010-2012), and fentanyl (2013-2016). We also examined social determinants of health as predictors of OUD/OD. Methods: Clients (N = 59,186) presenting for a first treatment for alcohol use problems were extracted from the Client Data System (CDS) of the New York State Office of Addiction Services and Support (OASAS) and New York State (NYS) Medicaid Data Warehouse. Using this cohort, we employed the Kaplan-Meier method to determine the survival probabilities for patients admitted in each of the three waves of the epidemic. Results: Patients in Cohort 3 (2013-2016) were diagnosed with OUD/OD more rapidly than patients in Cohort 1 (2007-2009) or Cohort 2 (2010-2012), although the overall estimated OUD/OD rate was comparable across the three cohorts. Discussion: These findings provide a useful estimate of the incidence and the expected time frame of an opioid use disorder in clients with an alcohol use problem. Moreover, it suggests that as the opioid epidemic progressed, OUD/OD developed more rapidly but the overall prevalence did not increase.

High-risk use of prescription opioids among patients treated for alcohol problems in New York State. A repeated cross-sectional study, 2005-2018.

Background: Patients with alcohol use disorder (AUD) and high-risk opioid use are at risk of serious complications. The purpose of this study was to estimate the prevalence of and factors associated with high-risk opioid use in patients with an alcohol use problem from 2005 to 2018. Methods: This repeated cross-sectional study analyzed data from first admissions for alcohol treatment (2005-2018) to the NYS Office of Addiction Services and Supports merged with Medicaid Claims Data. High-risk opioid use was defined as opioid dose ≥50 morphine mg equivalents (MME) per day; opioid prescriptions overlapping ≥7 days; opioids for chronic pain >90 days or opioids for acute pain >7 days. Results: Patients receiving ≥50 MME increased from 690 to 3226 from 2005 to 2010; then decreased to 2330 in 2018. From 2005-2011, patients with opioid prescriptions overlapping ≥7 days increased from 226 to 1594 then decreased to 892 in 2018. From 2005-2010, opioid use >7 days for acute pain increased from 133 to 970 and plateaued after 2010. From 2005-2018, patients who received opioids >90 days for chronic pain trended from 186 to 1655. White patients, females, age 36-55, patients with chronic and acute pain diagnoses had the highest rates of high-risk use. Conclusions: The prevalence of high-risk opioid use in patients with alcohol use problems increased from 2005 to 2011, and generally decreased after 2010. However, prevalence of opioids >90 days for chronic pain trended up from 2005 to 2018. High-risk opioid use among patients with AUD emphasizes the need to develop interventional strategies to improve patient care.

Drug Overdose Death Following Substance Use Disorder Treatment Termination in New York City: A Retrospective Longitudinal Cohort Study.

Drug overdose death rates are the highest recorded in New York City (NYC). Substance use disorder (SUD) treatment termination can confer increased risk of drug overdose death. Our objective was to determine the probability of, and factors associated with, drug overdose death following SUD treatment termination. Using a retrospective longitudinal cohort design, we identified those who had NYC-based SUD treatment terminated (01/2016-06/2019) using Chief Medical Examiner and SUD treatment data. Using survival analyses, we examined drug overdose deaths ≤ 14 and ≤ 90 days following SUD treatment termination, respectively. Of 51,171 patients with SUD treatment termination, 140 and 342 had a drug overdose death < 14 and ≤ 90 days, respectively. The crude drug overdose death rate was 26.7 per 1000 person-years at-risk in the ≤ 90-day period and was 71.6 per 1000 person-years at-risk in the ≤ 14-day period. In adjusted Cox proportional hazard model examining death ≤ 14 days, those unemployed (compared to employed) and those terminated from residential treatment (compared to medically supervised withdrawal, opioid treatment programs, and outpatient treatment) were more likely to have had a drug overdose death (all p-values < 0.01). In adjusted Cox proportional hazard model examining death ≤ 90 days, non-Hispanic White people (compared to non-Hispanic Black people), those not stably housed (compared to stably housed), those unemployed and those terminated from residential treatment were more likely to have had a drug overdose death (all p-values < 0.01). Strategies to improve retention including the reassessment of program treatment termination criteria along with strategies to promote ongoing OUD treatment, engagement in harm reduction, and distribution of naloxone are needed.

A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information - A merging of two administrative data sources.

OBJECTIVE: Despite the high prevalence of alcohol use disorder (AUD) in the United States, limited research is focused on the associations among AUD, pain, and opioids/benzodiazepine use. In addition, little is known regarding individuals with a history of AUD and their potential risk for pain diagnoses, pain prescriptions, and subsequent misuse. Moreover, the potential risk of pain diagnoses, prescriptions, and subsequent misuse among individuals with a history of AUD is not well known. The objective was to develop a tailored dataset by linking data from 2 New York State (NYS) administrative databases to investigate a series of hypotheses related to AUD and painful medical disorders. METHODS: Data from the NYS Office of Addiction Services and Supports (OASAS) Client Data System (CDS) and Medicaid claims data from the NYS Department of Health Medicaid Data Warehouse (MDW) were merged using a stepwise deterministic method. Multiple patient-level identifier combinations were applied to create linkage rules. We included patients aged 18 and older from the OASAS CDS who initially entered treatment with a primary substance use of alcohol and no use of opioids between January 1, 2003, and September 23, 2019. This cohort was then linked to corresponding Medicaid claims. RESULTS: A total of 177,685 individuals with a primary AUD problem and no opioid use history were included in the dataset. Of these, 37,346 (21.0%) patients had an OUD diagnosis, and 3,365 (1.9%) patients experienced an opioid overdose. There were 121,865 (68.6%) patients found to have a pain condition. CONCLUSION: The integrated database allows researchers to examine the associations among AUD, pain, and opioids/benzodiazepine use, and propose hypotheses to improve outcomes for at-risk patients. The findings of this study can contribute to the development of a prognostic prediction model and the analysis of longitudinal outcomes to improve the care of patients with AUD.

Trends in Prescribing Opioids, Benzodiazepines, and Both Among Adults with Alcohol Use Disorder in New York State.

BACKGROUND: Alcohol use disorder (AUD) is a highly prevalent public health problem that contributes to opioid- and benzodiazepine-related morbidity and mortality. Even though co-utilization of these substances is particularly harmful, data are sparse on opioid or benzodiazepine prescribing patterns among individuals with AUD. OBJECTIVE: To estimate temporal trends and disparities in opioid, benzodiazepine, and opioid/benzodiazepine co-prescribing among individuals with AUD in New York State (NYS). DESIGN/PARTICIPANTS: Serial cross-sectional study analyzing merged data from the NYS Office of Addiction Services and Supports (OASAS) and the NYS Department of Health Medicaid Data Warehouse. Subjects with a first admission to an OASAS treatment program from 2005-2018 and a primary AUD were included. A total of 148,328 subjects were identified. MEASURES: Annual prescribing rates of opioids, benzodiazepines, or both between the pre- (2005-2012) and post- (2013-2018) Internet System for Tracking Over-Prescribing (I-STOP) periods. I-STOP is a prescription monitoring program implemented in NYS in August 2013. Analyses were stratified based on sociodemographic factors (age, sex, race/ethnicity, and location). RESULTS: Opioid prescribing rates decreased between the pre- and post-I-STOP periods from 25.1% (95% CI, 24.9-25.3%) to 21.3% (95% CI, 21.2-21.4; P <.001), while benzodiazepine (pre: 9.96% [95% CI, 9.83-10.1%], post: 9.92% [95% CI, 9.83-10.0%]; P =.631) and opioid/benzodiazepine prescribing rates remained unchanged (pre: 3.01% vs. post: 3.05%; P =.403). After I-STOP implementation, there was a significant decreasing trend in opioid (change, -1.85% per year, P <.0001), benzodiazepine (-0.208% per year, P =.0184), and opioid/benzodiazepine prescribing (-0.267% per year, P <.0001). Opioid, benzodiazepine, and co-prescription rates were higher in females, White non-Hispanics, and rural regions. CONCLUSIONS: Among those with AUD, opioid prescribing decreased following NYS I-STOP program implementation. While both benzodiazepine and opioid/benzodiazepine co-prescribing rates remained high, a decreasing trend was evident after program implementation. Continuing high rates of opioid and benzodiazepine prescribing necessitate the development of innovative approaches to improve the quality of care.