Dataset Information

Treatment use and barriers among adolescents with prescription opioid use disorders.

ABSTRACT: This study examined national trends, patterns, correlates, and barriers to substance abuse treatment use by adolescents aged 12-17 years who met at least one of the past-year criteria for prescription opioid abuse or dependence (N=1788).Data were from the 2005-2008 National Surveys of Drug Use and Health (NSDUH). Past-year substance use disorders, major depression, and treatment use were assessed by audio computer-assisted self-interviewing.About 17% of adolescents with opioid dependence (n=434) and 16% of those with opioid abuse (n=355) used any substance abuse treatment in the past year compared with 9% of subthreshold users, i.e., adolescents who reported 1-2 prescription opioid dependence criteria but no abuse criteria (n=999). Only 4.2% of adolescents with opioid dependence, 0.5% of those with abuse, and 0.6% of subthreshold users reported a perceived need for treatment of nonmedical opioid use. Self-help groups and outpatient rehabilitation were the most commonly used sources of treatment. Few black adolescents used treatment (medical settings, 3.3%; self-help groups, 1.7%) or reported a need for treatment (1.8%). Talking to parents/guardians about dangers of substance use increased the odds of treatment use. Barriers to treatment use included "wasn't ready to stop substance use," "didn't want others to find out," and "could handle the problem without treatment."Adolescents with prescription opioid use disorders markedly underutilize treatment. Non-financial barriers are pervasive, including stigma and a lack of perceived treatment need.

SUBMITTER: Wu LT

PROVIDER: S-EPMC3179790 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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Treatment use and barriers among adolescents with prescription opioid use disorders.

Wu Li-Tzy LT Blazer Dan G DG Li Ting-Kai TK Woody George E GE

Addictive behaviors 20110807 12

<h4>Background</h4>This study examined national trends, patterns, correlates, and barriers to substance abuse treatment use by adolescents aged 12-17 years who met at least one of the past-year criteria for prescription opioid abuse or dependence (N=1788).<h4>Methods</h4>Data were from the 2005-2008 National Surveys of Drug Use and Health (NSDUH). Past-year substance use disorders, major depression, and treatment use were assessed by audio computer-assisted self-interviewing.<h4>Results</h4>Abou ...[more]

PMID: 21880431

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Project description:ImportanceThere is concern that nonmedical prescription opioid use is associated with an increased risk of later heroin use initiation in adolescents, but to our knowledge, longitudinal data addressing this topic are lacking.ObjectiveTo determine whether nonmedical prescription opioid use is associated with subsequent initiation of heroin use in adolescents.Design, setting, and participantsThis prospective longitudinal cohort study conducted in 10 high schools in Los Angeles, California, administered 8 semiannual surveys from 9th through 12th grade that assessed nonmedical prescription opioid use, heroin use, and other factors from October 2013 to July 2017. Students were baseline never users of heroin recruited through convenience sampling. Cox regression models tested nonmedical prescription opioid use statuses at survey waves 1 through 7 as a time-varying and time-lagged regressor and subsequent heroin use initiation across waves 2 to 8 as the outcome.ExposuresSelf-reported nonmedical prescription opioid use (past 30-day [current] use vs past 6-month [prior] use without past 30-day use vs no past 6-month use) at each wave from 1 to 7.Main outcomes and measuresSelf-reported heroin use initiation (yes/no) during waves 2 to 8.ResultsOf 3298 participants, 1775 (53.9%) were adolescent girls, 1563 (48.3%) were Hispanic, 548 (17.0%) were Asian, 155 (4.8%) were African American, 529 (16.4%) were non-Hispanic white, and 220 (6.8%) were multiracial. Among baseline never users of heroin in ninth grade with valid data (3298 [97% of cohort enrollees]; mean [SD] age, 14.6 [0.4] years), the number of individuals with outcome data available at each follow-up ranged from 2987 (90.6%) to 3200 (97.0%). The mean per-wave prevalence of prior and current nonmedical prescription opioid use from waves 1 to 7 was 1.9% and 2.7%, respectively. Seventy students (2.1%) initiated heroin use during waves 2 to 8. Prior vs no (hazard ratio, 3.59; 95% CI, 2.14-6.01; P < .001) and current vs no (hazard ratio, 4.37; 95% CI, 2.80-6.81; P < .001) nonmedical prescription opioid use were positively associated with subsequent heroin use initiation. For no, prior, and current nonmedical prescription opioid use statuses at waves 1 to 7, the estimated cumulative probabilities of subsequent heroin use initiation by wave 8 (42-month follow-up) were 1.7%, 10.7%, and 13.1%, respectively. In covariate-adjusted models, associations were attenuated but remained statistically significant and current nonmedical prescription opioid use risk estimates were stronger than corresponding associations of nonopioid substance use with subsequent heroin use initiation.Conclusions and relevanceNonmedical prescription opioid use was prospectively associated with subsequent heroin use initiation during 4 years of adolescence among Los Angeles youth. Further research is needed to understand whether this association is causal.

Project description:ImportanceBetween 1997 and 2017, the United States saw increases in nonmedical prescription opioid use and its consequences, as well as changes in marijuana policies. Ecological-level research hypothesized that medical marijuana legalization may reduce prescription opioid use by allowing medical marijuana as an alternative.ObjectivesTo investigate the association of state-level medical marijuana law enactment with individual-level nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users and to determine whether these outcomes varied by age and racial/ethnic groups.Design, setting, and participantsThis cross-sectional study used restricted data on 627 000 individuals aged 12 years and older from the 2004 to 2014 National Survey on Drug Use and Health, a population-based survey representative of the civilian population of the United States. Analyses were completed from March 2018 to May 2018.ExposuresTime-varying indicator of state-level medical marijuana law enactment (0 = never law enactment, 1 = before law enactment, and 2 = after law enactment).Main outcomes and measuresPast-year nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users. Odds ratios of nonmedical prescription opioid use and prescription opioid use disorder comparing the period before and after law enactment were presented overall, by age and racial/ethnic group, and adjusted for individual- and state-level confounders.ResultsThe study sample included 627 000 participants (51.51% female; 9.88% aged 12-17 years, 13.30% aged 18-25 years, 14.30% aged 26-34 years, 25.02% aged 35-49 years, and 37.50% aged ≥50 years; the racial/ethnic distribution was 66.97% non-Hispanic white, 11.83% non-Hispanic black, 14.47% Hispanic, and 6.73% other). Screening and interview response rates were 82% to 91% and 71% to 77%, respectively. Overall, there were small changes in nonmedical prescription opioid use prevalence after medical marijuana law enactment (4.32% to 4.86%; adjusted odds ratio, 1.13; 95% CI, 1.06-1.20). Prescription opioid use disorder prevalence among prescription opioid users decreased slightly after law enactment, but the change was not statistically significant (15.41% to 14.76%; adjusted odds ratio, 0.95; 95% CI, 0.81-1.11). Outcomes were similar when stratified by age and race/ethnicity.Conclusions and relevanceThis study found little evidence of an association between medical marijuana law enactment and nonmedical prescription opioid use or prescription opioid use disorder among prescription opioid users. Further research should disentangle the potential mechanisms through which medical marijuana laws may reduce opioid-related harm.

Project description:OBJECTIVE:Although buprenorphine treatment reduces risk of overdose and death in opioid use disorder, most patients discontinue treatment within a few weeks or months. Adverse health outcomes following buprenorphine discontinuation were compared among patients who were successfully retained beyond 6 months of continuous treatment, a minimum treatment duration recently endorsed by the National Quality Forum. METHODS:A retrospective longitudinal cohort analysis was performed using the MarketScan multistate Medicaid claims database (2013-2017), covering 12 million beneficiaries annually. The sample included adults (18-64 years of age) who received buprenorphine continuously for ?180 days by cohorts retained for 6-9 months, 9-12 months, 12-15 months, and 15-18 months. For outcome assessment in the postdiscontinuation period, patients had to be continuously enrolled in Medicaid for 6 months after buprenorphine discontinuation. Primary adverse outcomes included all-cause emergency department visits, all-cause inpatient hospitalizations, opioid prescriptions, and drug overdose (opioid or non-opioid). RESULTS:Adverse events were common across all cohorts, and almost half of patients (42.1%-49.9%) were seen in the emergency department at least once. Compared with patients retained on buprenorphine for 6-9 months (N=4,126), those retained for 15-18 months (N=931) had significantly lower odds of emergency department visits (odds ratio=0.75, 95% CI=0.65-0.86), inpatient hospitalizations (odds ratio=0.79, 95% CI=0.64-0.99), and filling opioid prescriptions (odds ratio=0.67, 95% CI=0.56-0.80) in the 6 months following discontinuation. Approximately 5% of patients across all cohorts experienced one or more medically treated overdoses. CONCLUSIONS:Risk of acute care service use and overdose were high following buprenorphine discontinuation irrespective of treatment duration. Superior outcomes became significant with treatment duration beyond 15 months, although rates of the primary adverse outcomes remained high.

Project description:BACKGROUND:Patients recovering from opioid use disorders (OUD) may be prone to relapse and opioid misuse in the postoperative period due to re-exposure to prescription opioids for pain control. This retrospective study analyzed the incidence of confirmed opioid misuse in the postoperative period in patients with OUDs enrolled in an opioid agonist treatment (OAT) program. METHODS:The study population was US veterans with a diagnosis of OUD who enrolled in the OAT program at VA Maryland Health Care System (Baltimore, Maryland, USA) between 1/1/2000 and 12/31/2016. The patients were excluded if they were enrolled in OAT for less than a year, or if they had surgery within the first 180 days after OAT admission. The surgical group consisted of veterans who had surgery or an invasive procedure during their enrollment in the OAT program. The control (reference) group consisted of enrolled veterans who did not have any invasive procedure. The primary outcome was the first opioid misuse within 365?days after surgery date in the surgical group or a randomly assigned sham surgery date in controls. Opioid misuse was defined as either inappropriate use of opioids detected via urinalysis or admission with a diagnosis of an opioid overdose. RESULTS:From a total of 1352 patients enrolled in the OAT program, 413 were excluded because they were enrolled for less than a year, and 26 were excluded because they had surgery within the first 180?days after admission to the OAT program. Of the 923 eligible patients, 87 had surgery while enrolled and 836 did not. Using propensity scores, all 87 of the surgical cases were matched to 249 of the control cases. In the matched groups, surgery was positively associated with postoperative opioid misuse (odds ratio (OR) of 1.91, 95% CI 1.05-3.48, p?=?0.034) in logistic regression. CONCLUSION:Among patients with a history of opioid use disorders, the postoperative period was associated with an increased risk of opioid misuse. Moreover, opioid misuse among patients in an opioid agonist treatment program may well be considered a surgical hazard.

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Treatment use and barriers among adolescents with prescription opioid use disorders.

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Treatment use and barriers among adolescents with prescription opioid use disorders.

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