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Background: The screening, brief intervention, and referral to treatment (SBIRT) model is recommended by the U.S. Preventive Services Task Force to improve recognition of and intervention for unhealthy alcohol use. How SBIRT implementation differs by demographic characteristics is poorly understood. Methods: We analyzed data from the 2015–2019 National Survey on Drug Use and Health from respondents ≥18 years old who used an outpatient clinic and had at least one alcoholic drink within the past year. Respondents were grouped into one of three mutually exclusive groups: "no binge drinking or alcohol use disorder (AUD)," "binge drinking without AUD," or "AUD." Outcome variables were likelihood of screening, brief intervention (BI), referral to treatment (RT), and AUD treatment. The demographic predictors on which outcomes were regressed included gender, age, race and ethnicity, sexual orientation, insurance status, and history of military involvement. Consistent with SBIRT guidelines, the entire sample was included in the screening model; screened persons with either binge drinking without AUD or with AUD were included in the BI model; screened persons with AUD were included in the RT model, and persons referred to treatment with AUD were included in the AUD treatment model. Results: Analyses included 120,804 respondents. Women were more likely than men to be screened, but less likely to receive BI or RT. When referred to treatment, women were more likely than men to receive it. Persons aged ≥50 were least likely to be screened about alcohol, but most likely to receive BI, while persons aged 18–25 were least likely to receive BI or AUD treatment. Racial and ethnic minorities were less likely than White persons to be screened; Asians were less likely to receive RT, and Black persons were less likely to receive treatment than White persons. Persons identifying as gay, lesbian, or bisexual were equally as likely or more likely to receive SBIRT or AUD treatment as those identifying as heterosexual. Persons without insurance were less likely to be screened than those with insurance. Persons with a history of military involvement were more likely to be screened and receive BI and RT than persons who had not served in the military. Conclusions: Demographic disparities in SBIRT implementation exist. Addressing the sources of these disparities and minimizing attrition from care could improve outcomes for persons with unhealthy alcohol use. [ABSTRACT FROM AUTHOR]

Background: Although effective treatments exist, alcohol use disorder (AUD) is undertreated. We used a cascade of care framework to understand gaps in care for persons with AUD. Methods: Using 2015–2019 National Survey on Drug Use and Health data, we evaluated the following steps in the cascade of care: (1) adult prevalence of AUD; (2) proportion of adults with AUD who utilized health care in the past 12 months; (3) proportion with AUD screened about their alcohol use; (4) proportion with AUD who received a brief intervention about their alcohol misuse; (5) proportion with AUD who received information about treatment for alcohol misuse; and (6) proportion with AUD who received treatment. Analyses were stratified by AUD severity. Results: Of the 214,505 persons included in the sample, the weighted prevalence of AUD was 7.8% (95% CI 7.6–8.0%). Cascades of care showed the majority of individuals with AUD utilized health care in the past 12 months [81.4% (95% CI 80.7–82.1%)] and were screened about alcohol use [69.9% (95% CI 68.9–70.8%)]. However, only a minority of individuals received subsequent steps of care, including 11.6% (95% CI 11.0–12.2%) who reported receiving a brief intervention, 5.1% (95% CI 4.6–5.6%) who were referred to treatment, and 5.8% (95% CI 5.4–6.3%) who received treatment. Similar patterns were observed when cascades of care were stratified by AUD severity. Conclusions: Persons with AUD commonly utilize health care and are often screened about alcohol use, but few receive treatment. Healthcare settings—particularly primary care settings—represent a prime opportunity to implement AUD treatment to improve outcomes in this high‐risk population. [ABSTRACT FROM AUTHOR]

Background and Aims: In the United States, the availability of prescription opioids has decreased in recent years. Whether there have been corresponding changes in the likelihood of people with prescription opioid use disorder (POUD) to engage in illegal behaviors related to drug use remains unknown. We examined changes in prevalence of illegal behaviors between people with and without POUD over time, and how transactions for obtaining opioids have changed among people with POUD over time. Design Temporal trend analysis of repeated cross‐sectional data. Setting: United States household dwelling population from all 50 states and District of Columbia. Participants: Adult subsamples from the 2002–14 National Survey of Drug Use and Health (n = 5393 people with POUD; n = 486 768 people without POUD). Measurements Outcome variables were selected illegal behaviors and sources of opioids used non‐medically. POUD was defined using the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, criteria. Time was treated as a continuous variable. The variable of interest for each illegal behavior analysis was the interaction between POUD diagnosis and time. Covariates included age, sex and race/ethnicity. Findings During the 13‐year period examined, the adjusted interaction odds ratio (AIOR) describing the change in association between POUD and selling illicit drugs increased by a factor of 2.41 [95% confidence interval (CI) = 1.56–3.71, P < 0.001]. Similar trends were noted for stealing (AIOR = 2.12, 95% CI = 1.31–3.44, P = 0.002) and for life‐time history of arrest (AIOR = 1.53, 95% CI = 1.06–2.19, P = 0.021). People with POUD became less likely to receive opioids for free from friends and family [adjusted odds ratio (AOR) = 0.42, 95% CI = 0.25–0.71, P = 0.001] and more likely to buy them from friends and family (AOR = 3.29, 95% CI = 1.76–6.13, P < 0.001) from 2005 to 2014. Conclusions: In the United States, against a backdrop of a decreasing prescription opioid supply, rates of some crimes potentially related to drug use increased among people with prescription opioid use disorder compared with those without prescription opioid use disorder from 2002 to 2014. [ABSTRACT FROM AUTHOR]

Background and Aims: Persons with opioid use disorder (OUD) and co-occurring alcohol use disorder (AUD) are understudied. We identified whether co-occurring AUD was associated with OUD treatment type, compared associations between treatment type and six-month treatment retention and determined whether co-occurring AUD moderated these relationships.Methods: We used an observational cohort study design to analyze insurance claims data from 2011 to 2016 from persons aged 12-64 with an opioid abuse or opioid dependence diagnosis and OUD treatment claim. Our unit of analysis was the treatment episode; we used logistic regression for analyses.Results: Of 211,047 treatment episodes analyzed, 14 % had co-occurring alcohol abuse or dependence diagnoses. Among persons with opioid dependence, persons with co-occurring alcohol dependence were 25 % less likely to receive medication treatment relative to those without AUD. Further, alcohol dependence was associated with decreased likelihood of treatment with buprenorphine (AOR 0.47, 95 % CI 0.44-0.49) or methadone (AOR 0.31, 95 % CI 0.28-0.35) and increased likelihood of treatment with extended-release (AOR 1.36, 95 % CI 1.21-1.54) or oral (AOR 1.73, 95 % CI 1.57-1.90) naltrexone relative to psychosocial treatment. Buprenorphine and methadone were associated with highest retention prevalence regardless of OUD or AUD severity. Co-occurring alcohol abuse or dependence did not meaningfully change retention prevalence associated with buprenorphine or methadone. Co-occurring AUD was not associated with improved retention among persons receiving either formulation of naltrexone.Conclusions: Buprenorphine and methadone are associated with relatively high likelihood of treatment retention among persons opioid and alcohol dependence, but are disproportionately under-prescribed. [ABSTRACT FROM AUTHOR]

Chronic pain increases risk for opioid overdose among individuals with opioid use disorder. The purpose of this study is to evaluate the relationship between recent overdose and whether or not chronic pain is active. 3,577 individuals in treatment for opioid use disorder in 2017 or 2018 were surveyed regarding recent overdoses and chronic pain. Demographics from the 2017 Treatment Episode Data Set, which includes all U.S. facilities licensed or certified to provide substance use care, were used to evaluate the generalizability of the sample. χ2 tests and logistic regression models were used to compare associations between recent overdoses and chronic pain. Specifically, active chronic pain was associated with opioid overdose among people in treatment for opioid use disorder. Individuals with active chronic pain were more likely to have had a past month opioid overdose than those with no history chronic pain (adjusted OR = 1.55, 95% CI 1.16–2.08, p = 0.0003). In contrast, individuals with prior chronic pain, but no symptoms in the past 30 days, had a risk of past month opioid overdose similar to those with no history of chronic pain (adjusted OR = 0.88, 95% CI 0.66–1.17, p = 0.38). This suggests that the incorporation of treatment for chronic pain into treatment for opioid use disorder may reduce opioid overdoses. [ABSTRACT FROM AUTHOR]

Background and Aims: Adolescents with opioid use disorder (OUD) are an understudied and vulnerable population. We examined the association between age and six-month treatment retention, and whether any such association was moderated by medication treatment.Methods: In this retrospective cohort study, we used an insurance database with OUD treatment claims from 2006-2016. We examined 261,356 OUD treatment episodes in three age groups: adolescents (ages 12-17), young adults (18-25) and older adults (26-64). We used logistic regression to estimate prevalence of six-month retention before and after stratification by treatment type (buprenorphine, naltrexone, or psychosocial only). Insurance differences (commercial vs Medicaid) in medication treatment prevalence were also assessed.Results: Adolescents were less likely to be retained compared to adults (17.6 %; 95 % CI 16.5-18.7 % for adolescents; 25.1 %; 95 % CI 24.7-25.4 % for young adults; 33.3 %; 95 % CI 33.0-33.5 % for older adults). This disparity was reduced after adjusting for treatment type. For all ages, buprenorphine was more strongly associated with retention than naltrexone or psychosocial treatment. Adolescents who received buprenorphine were more than four times as likely to be retained in treatment (44.8 %; 95 % CI 40.6-49.0) compared to those who received psychosocial services (9.7 %; 95 % CI 8.8-10.8). Persons with commercial insurance were more likely to receive medication than those with Medicaid (73 % vs 36 %, (χ2 = 38,042.6, p < .001).Conclusions: Age disparities in six-month treatment retention are strongly related to age disparities in medication treatment. Results point to need for improved implementation of medication treatment for persons with OUD, regardless of age or insurance status. [ABSTRACT FROM AUTHOR]

Objective: Persons with opioid use disorder who take benzodiazepines are at high risk for overdose. The objective of this study was to evaluate the association of benzodiazepine and Z-drug use with drug-related poisonings among patients receiving buprenorphine maintenance treatment.Methods: A case-crossover study design was used to analyze prescription claims among persons ages 12-64 with opioid use disorder who had buprenorphine prescriptions and had claims data in the IBM MarketScan databases (2006-2016), encompassing 14,213,075 person-days of observation time for 23,036 individuals who experienced drug-related poisoning. The exposures were buprenorphine prescriptions and benzodiazepine or Z-drug prescriptions, standardized as daily diazepam-equivalent milligram doses and separated by pharmacologic properties (short-acting or long-acting benzodiazepines, Z-drugs). The outcome of interest was nonfatal drug-related poisoning. Conditional logistic regression was used to evaluate variation in benzodiazepine or Z-drug and buprenorphine use between poisoning and nonpoisoning days.Results: Buprenorphine treatment days were associated with a nearly 40% reduction in the risk of poisoning events (odds ratio=0.63, 95% CI=0.60, 0.66) compared with nontreatment days, whereas benzodiazepine or Z-drug treatment days were associated with an 88% increase in the risk of such events (95% CI=1.78, 1.98). In stratified analyses by dose, we observed a 78% (95% CI=1.67, 1.88) and 122% (95% CI=2.03, 2.43) increase in poisonings associated with low-dose and high-dose benzodiazepine or Z-drug treatment days, respectively. High-dose, but not low-dose, benzodiazepine or Z-drug treatment was associated with increased poisonings in combination with buprenorphine cotreatment (odds ratio=1.64, 95% CI=1.39, 1.93), but this was lower than the odds risk associated with benzodiazepine or Z-drug treatment in the absence of buprenorphine (low-dose: odds ratio=1.69, 95% CI=1.60, 1.79; high-dose: odds ratio=2.23, 95% CI=2.04, 2.45).Conclusions: Increased risk of nonfatal drug-related poisoning is associated with benzodiazepine or Z-drug treatment in patients with opioid use disorder, but this risk is partially mitigated by buprenorphine treatment. Dose reduction of benzodiazepines or Z-drugs while maintaining buprenorphine treatment may provide the advantage of lowering drug-related poisoning risk. [ABSTRACT FROM AUTHOR]