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Overdose history is associated with postdetoxification treatment preference for persons with opioid use disorder.

ABSTRACT: Without aftercare treatment, persons discharged from short-term inpatient detoxification for opioid use disorder are at high risk of relapse. In previous work, those who were recently homeless or had pending legal problems were more likely to prefer residential treatment for aftercare. Here, based on clinical experience, the authors hypothesize that a particular clinical factor, surviving an opioid overdose, will be associated with aftercare preference.Between May and December 2015, the authors surveyed consecutive persons seeking inpatient opioid detoxification. To assess aftercare treatment preference, participants were asked, "If you had unlimited treatment options and all were free, which one would work best for you when you leave here?" To assess overdose history, participants were asked about overdose "since your first drug use," and "in the last year."Participants' (N = 440) mean age was 32.3 (± 8.7) years; 70.7% were male. More than half (51.1%) of participants expressed an aftercare preference for medication-assisted treatment (MAT), 12.7% for outpatient counseling only, 10.7% for residential treatment,18.6% for no formal treatment (Narcotics Anonymous/Alcoholics Anonymous only or a halfway house), and 6.8% did not want any postdetoxification treatment. About 40% reported a history of overdose, and 24.8% reported past year overdose. In the multivariate model, treatment preference was associated with sex (P < .001), homelessness (P = .01), and history of drug overdose (P = .02).Although MAT was preferred by the majority of participants, the experience of a nonfatal overdose was associated with the choice of residential treatment as postdetoxification treatment.

SUBMITTER: Stein MD

PROVIDER: S-EPMC6077990 | biostudies-literature | 2017 Oct-Dec

REPOSITORIES: biostudies-literature

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Overdose history is associated with postdetoxification treatment preference for persons with opioid use disorder.

Stein Michael D MD Flori Jessica N JN Risi Megan M MM Conti Micah T MT Anderson Bradley J BJ Bailey Genie L GL

Substance abuse 20170710 4

<h4>Background</h4>Without aftercare treatment, persons discharged from short-term inpatient detoxification for opioid use disorder are at high risk of relapse. In previous work, those who were recently homeless or had pending legal problems were more likely to prefer residential treatment for aftercare. Here, based on clinical experience, the authors hypothesize that a particular clinical factor, surviving an opioid overdose, will be associated with aftercare preference.<h4>Methods</h4>Between ...[more]

PMID: 28692407

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Project description:ImportanceGiven the high number of opioid overdose deaths in the US and the complex epidemiology of opioid use disorder (OUD), systems models can serve as a tool to identify opportunities for public health interventions.ObjectiveTo estimate the projected 3-year association between public health interventions and opioid overdose-related outcomes among persons with OUD.Design, setting, and participantsThis decision analytical model used a simulation model of the estimated US population aged 12 years and older with OUD that was developed and analyzed between January 2019 and December 2023. The model was parameterized and calibrated using 2019 to 2020 data and used to estimate the relative change in outcomes associated with simulated public health interventions implemented between 2021 and 2023.Main outcomes and measuresProjected OUD and medications for OUD (MOUD) prevalence in 2023 and number of nonfatal and fatal opioid-involved overdoses among persons with OUD between 2021 and 2023.ResultsIn a baseline scenario assuming parameters calibrated using 2019 to 2020 data remained constant, the model projected more than 16 million persons with OUD not receiving MOUD treatment and nearly 1.7 million persons receiving MOUD treatment in 2023. Additionally, the model projected over 5 million nonfatal and over 145 000 fatal opioid-involved overdoses among persons with OUD between 2021 and 2023. When simulating combinations of interventions that involved reducing overdose rates by 50%, the model projected decreases of up to 35.2% in nonfatal and 36.6% in fatal opioid-involved overdoses among persons with OUD. Interventions specific to persons with OUD not currently receiving MOUD treatment demonstrated the greatest reduction in numbers of nonfatal and fatal overdoses. Combinations of interventions that increased MOUD initiation and decreased OUD recurrence were projected to reduce OUD prevalence by up to 23.4%, increase MOUD prevalence by up to 137.1%, and reduce nonfatal and fatal opioid-involved overdoses among persons with OUD by 6.7% and 3.5%, respectively.Conclusions and relevanceIn this decision analytical model study of persons with OUD, findings suggested that expansion of evidence-based interventions that directly reduce the risk of overdose fatality among persons with OUD, such as through harm reduction efforts, could engender the highest reductions in fatal overdoses in the short-term. Interventions aimed at increasing MOUD initiation and retention of persons in treatment projected considerable improvement in MOUD and OUD prevalence but could require a longer time horizon for substantial reductions in opioid-involved overdoses.

Project description:ObjectiveThe United States is amidst an opioid epidemic, including synthetic opioids that may result in rapid death, leaving minimal opportunity for bystander rescue. We pilot tested a behavioral intervention to reduce the occurrence of opioid overdose among opioid dependent persons at high-risk for subsequent overdose.Materials and methodsWe conducted a single-blinded randomized-controlled trial of a repeated dose motivational interviewing intervention (REBOOT) to reduce overdose versus treatment as usual, defined as information and referrals, over 16 months at the San Francisco Department of Public Health from 2014-2016. Participants were 18-65 years of age, had opioid use disorder by Structured Clinical Interview, active opioid use, opioid overdose within 5 years, and prior receipt of naloxone kits. The intervention was administered at months 0, 4, 8, and 12, preceded by the assessment which was also administered at month 16. Dual primary outcomes were any overdose event and number of events, collected by computer-assisted personal interview, as well as any fatal overdose events per vital records.ResultsA total of 78 persons were screened and 63 enrolled. Mean age was 43 years, 67% were born male, 65% White, 17% African-American, and 14% Latino. Ninety-two percent of visits and 93% of counseling sessions were completed. At baseline, 33.3% of participants had experienced an overdose in the past four months, with a similar mean number of overdoses in both arms (p = 0.95); 29% overdosed during follow-up. By intention-to-treat, participants assigned to REBOOT were less likely to experience any overdose (incidence rate ratio [IRR] 0.62 [95%CI 0.41-0.92, p = 0.019) and experienced fewer overdose events (IRR 0.46, 95%CI 0.24-0.90, p = 0.023), findings that were robust to sensitivity analyses. There were no differences between arms in days of opioid use, substance use treatment, or naloxone carriage.ConclusionsREBOOT reduced the occurrence of any opioid overdose and the number of overdoses.Trial registrationclinicaltrials.gov NCT02093559.

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: This study sought to explore whether intervening in suspected cases of opioid overdose alters interest in treatment for opioid use disorder (OUD). Data were collected as a part of a trial comparing the effects of different overdose education and naloxone distribution (OEND) training curricula on overdose outcomes. Methods: Following OEND training, participants completed four in-person follow-up visits at 1-, 3-, 6- and 12-months. Participants were also regularly contacted to inquire about overdose events they responded to, witnessed, or experienced themselves. Other assessments included the Addiction Severity Index that queries participants' perceived importance of drug treatment on a scale of: 0 (Not at All) to 4 (Extremely). For the current secondary data analysis, treatment importance was assessed at the time points most immediately preceding and following participant intervention in an overdose event using naloxone. Results: The sample reported a mean duration of opioid use of 14.9 (± 11.5) years, with 67% having witnessed an overdose event prior to the study. Of the 321 enrolled, 92 participants used naloxone in response to 166 suspected cases of an opioid overdose. For the entire sample, mean treatment importance did not significantly change throughout the study. Among participants who utilized naloxone, treatment importance increased following the event (Before: 3.03, After: 3.39, p = 0.02). Due to the amount of time between the overdose event and assessment of post-event treatment importance (40.5 days, ±40.2), the current study most likely underestimates this effect. Conclusions: The current study suggests that responding to an overdose event increases interest in OUD treatment. Currently only considered an acute intervention to reduce overdose morbidity and mortality, OEND may have the potential to increase enrollment in medications to treat OUD. However, a prospective investigation needs to determine if the impact of an overdose event could be utilized to increase treatment engagement.

Project description:BackgroundBenzodiazepine (BZD) misuse is a significant public health problem, particularly in conjunction with opioid use, due to increased risks of overdose and death. One putative mechanism underlying BZD misuse is affective dysregulation, via exaggerated negative affect (e.g., anxiety, depression, stress-reactivity) and/or impaired positive affect (anhedonia). Similar to other misused substances, BZD consumption is sensitive to price and individual differences. Although purchase tasks and demand curve analysis can shed light on determinants of substance use, few studies have examined BZD demand, nor factors related to demand.MethodsThis ongoing study is examining simulated economic demand for alprazolam (among BZD lifetime misusers based on self-report and DSM-5 diagnosis; n = 23 total; 14 male, 9 female) and each participant's preferred-opioid/route using hypothetical purchase tasks among patients with opioid use disorder (n = 59 total; 38 male, 21 female) who are not clinically stable, i.e., defined as being early in treatment or in treatment longer but with recent substance use. Aims are to determine whether: (1) BZD misusers differ from never-misusers on preferred-opioid economic demand, affective dysregulation (using questionnaire and performance measures), insomnia/behavioral alertness, psychiatric diagnoses or medications, or urinalysis results; and (2) alprazolam demand among BZD misusers is related to affective dysregulation or other measures.ResultsLifetime BZD misuse is significantly (p < 0.05) related to current major depressive disorder diagnosis, opioid-negative and methadone-negative urinalysis, higher trait anxiety, greater self-reported affective dysregulation, and younger age, but not preferred-opioid demand or insomnia/behavioral alertness. Alprazolam and opioid demand are each significantly positively related to higher anhedonia and, to a lesser extent, depression symptoms but no other measures of negative-affective dysregulation, psychiatric conditions or medications (including opioid agonist therapy or inpatient/outpatient treatment modality), or sleep-related problems.ConclusionAnhedonia (positive-affective deficit) robustly predicted increased BZD and opioid demand; these factors could modulate treatment response. Routine assessment and effective treatment of anhedonia in populations with concurrent opioid and sedative use disorder may improve treatment outcomes.Clinical trial registrationhttps://clinicaltrials.gov/ct2/show/NCT03696017, identifier NCT03696017.

Project description:Importance:Timely initiation and referral to treatment for patients with opioid use disorder seen in the emergency department is associated with reduced mortality. It is not known how often commercially insured adults obtain follow-up treatment after nonfatal opioid overdose. Objective:To investigate the incidence of follow-up treatment following emergency department discharge after nonfatal opioid overdose and patient characteristics associated with receipt of follow-up treatment. Design, Setting, and Participants:A retrospective cohort study was conducted using an administrative claims database for a large US commercial insurer, from October 1, 2011, to September 30, 2016. Data analysis was performed from May 1, 2019, to September 26, 2019. Adult patients discharged from the emergency department after an index opioid overdose (no overdose in the preceding 90 days) were included. Patients with cancer and without continuous insurance enrollment were excluded. Main Outcomes and Measures:The primary outcome was follow-up treatment in the 90 days following overdose, defined as a combined outcome of claims for treatment encounters or medications for opioid use disorder (buprenorphine and naltrexone). Analysis was stratified by whether patients received treatment for opioid use disorder in the 90 days before the overdose. Logistic regression models were used to identify patient characteristics associated with receipt of follow-up treatment. Marginal effects were used to report the average adjusted probability and absolute risk differences (ARDs) in follow-up for different patient characteristics. Results:A total of 6451 patients were identified with nonfatal opioid overdose; the mean (SD) age was 45.0 (19.3) years, 3267 were women (50.6%), and 4676 patients (72.5%) reported their race as non-Hispanic white. A total of 1069 patients (16.6%; 95% CI, 15.7%-17.5%) obtained follow-up treatment within 90 days after the overdose. In adjusted analysis of patients who did not receive treatment before the overdose, black patients were half as likely to obtain follow-up compared with non-Hispanic white patients (ARD, -5.9%; 95% CI, -8.6% to -3.6%). Women (ARD, -1.7%; 95% CI, -3.3% to -0.5%) and Hispanic patients (ARD, -3.5%; 95% CI, -6.1% to -0.9%) were also less likely to obtain follow-up. For each additional year of age, patients were 0.2% less likely to obtain follow-up (95% CI, -0.3% to -0.1%). Conclusions and Relevance:Efforts to improve the low rate of timely follow-up treatment following opioid overdose may seek to address sex, race/ethnicity, and age disparities.

Project description:Background and aimsEvidence from randomized controlled trials establishes that medication treatment with methadone and buprenorphine reduces opioid use and improves treatment retention. However, little is known about the role of such medications compared with non-medication treatments in mitigating overdose risk among US patient populations receiving treatment in usual care settings. This study compared overdose mortality among those in medication versus non-medication treatments in specialty care settings.DesignRetrospective cohort study using state-wide treatment data linked to death records. Survival analysis was used to analyze data in a time-to-event framework.SettingServices delivered by 757 providers in publicly funded out-patient specialty treatment programs in Maryland, USA between 1 January 2015 and 31 December 2016.ParticipantsA total of 48 274 adults admitted to out-patient specialty treatment programs in 2015-16 for primary diagnosis of opioid use disorder.MeasurementsMain exposure was time in medication treatment (methadone/buprenorphine), time following medication treatment, time exposed to non-medication treatments and time following non-medication treatment. Main outcome was opioid overdose death during and after treatment. Hazard ratios were calculated using Cox proportional hazard regression. Propensity score weights were adjusted for patient information on sex, age, race, region of residence, marital and veteran status, employment, homelessness, primary opioid, mental health treatment, arrests and criminal justice referral.FindingsThe study population experienced 371 opioid overdose deaths. Periods in medication treatment were associated with substantially reduced hazard of opioid overdose death compared with periods in non-medication treatment [adjusted hazard ratio (aHR) = 0.18, 95% confidence interval (CI) = 0.08-0.40]. Periods after discharge from non-medication treatment (aHR = 5.45, 95% CI = 2.80-9.53) and medication treatment (aHR = 5.85, 95% CI = 3.10-11.02) had similar and substantially elevated risks compared with periods in non-medication treatments.ConclusionsAmong Maryland patients in specialty opioid treatment, periods in treatment are protective against overdose compared with periods out of care. Methadone and buprenorphine are associated with significantly lower overdose death compared with non-medication treatments during care but not after treatment is discontinued.

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Overdose history is associated with postdetoxification treatment preference for persons with opioid use disorder.

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Overdose history is associated with postdetoxification treatment preference for persons with opioid use disorder.

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