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Baseline characteristics and treatment outcomes in prescription opioid dependent patients with and without co-occurring psychiatric disorder.

ABSTRACT: Given the growing prevalence of prescription opioid dependence and the considerable rates of additional psychopathology in drug dependence, we examined the association between the presence of a co-occurring Axis I psychiatric disorder and sociodemographic and clinical characteristics in this secondary analysis of patients entering a treatment study for dependence on prescription opioids. Treatment outcomes were also compared.Patients dependent on prescription opioids participated in a multi-site, two-phase, randomized, controlled trial to assess different lengths of buprenorphine-naloxone pharmacotherapy and different intensities of counseling (Clinicaltrials.gov identifier: NCT00316277). Among the 653 participants entering the first phase of the trial, 360 entered the second phase, receiving 12 weeks of buprenorphine-naloxone treatment; they are reported here. Half of those participants (180/360) had a current co-occurring psychiatric disorder in addition to substance dependence.Sociodemographic characteristics were similar overall between those with and without a co-occurring psychiatric disorder, but women were 1.6 times more likely than men to have a co-occurring disorder. On several clinical indicators at baseline, participants with a co-occurring disorder had greater impairment. However, they had better opioid use outcomes at the conclusion of 12 weeks of buprenorphine-naloxone stabilization than did participants without a co-occurring disorder.Prescription opioid-dependent patients with a co-occurring psychiatric disorder had a better response to buprenorphine-naloxone treatment despite demonstrating greater impairment at baseline. Additional research is needed to determine the mechanism of this finding and to adapt treatments to address this population.

SUBMITTER: Griffin ML

PROVIDER: S-EPMC3947491 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature

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Baseline characteristics and treatment outcomes in prescription opioid dependent patients with and without co-occurring psychiatric disorder.

Griffin Margaret L ML Dodd Dorian R DR Potter Jennifer S JS Rice Lindsay S LS Dickinson William W Sparenborg Steven S Weiss Roger D RD

The American journal of drug and alcohol abuse 20131112 2

<h4>Background</h4>Given the growing prevalence of prescription opioid dependence and the considerable rates of additional psychopathology in drug dependence, we examined the association between the presence of a co-occurring Axis I psychiatric disorder and sociodemographic and clinical characteristics in this secondary analysis of patients entering a treatment study for dependence on prescription opioids. Treatment outcomes were also compared.<h4>Methods</h4>Patients dependent on prescription o ...[more]

PMID: 24219166

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Project description:ObjectiveMost opioid users seeking treatment in community-based substance abuse treatment programs have at least one co-occurring psychiatric disorder, and the presence of psychiatric comorbidity in this population is associated with increased psychological distress, poorer quality of life, and reduced response to substance abuse treatment. This observational study describes clinical outcomes of referring patients receiving methadone maintenance with at least one co-occurring psychiatric disorder to a community psychiatry program located on the same hospital campus.MethodsParticipants (n = 156) were offered priority referrals to a community psychiatry program that included regularly scheduled psychiatrist appointments, individual and group therapy, and enhanced access to psychiatric medications for 1 year. Psychiatric distress was measured with the Symptom Checklist (SCL-90-R), which participants completed monthly.ResultsWhile about 80% of the sample (n = 124) initiated psychiatric care, the average length of treatment was only 128.2 days (SD = 122.8), participants attended only 33% of all scheduled appointments (M = 14.9 sessions, SD = 14.1), and 84% (n = 104) did not complete a full year of care. Of those who did not complete a full year, over half (55%, n = 68) left psychiatric care while still receiving substance abuse treatment. Exploratory negative binomial regression showed that baseline cocaine and alcohol use disorder (p = .002 and .022, respectively) and current employment (p = .034) were associated with worse psychiatric treatment retention. Modest reductions in psychiatric distress over time were observed (SCL-90-R Global Severity Index change score = 2.5; paired t = 3.54, df = 121, p = .001).ConclusionsReferral of patients with co-occurring psychiatric disorders receiving methadone maintenance to a community psychiatry program is often ineffective, even after reducing common barriers to care. Service delivery models designed to improve attendance and retention, such as integrated care models, should be evaluated. This study is part of a larger clinical trial, registered at www.clinicaltrials.gov under #NCT00787735.

Project description:In the United States (US), long-term opioid therapy has been commonly prescribed for chronic pain. Since recognition of the opioid overdose epidemic, clinical practice guidelines have recommended tapering long-term opioids to reduced doses or discontinuation. The Effects of Prescription Opioid Changes for veterans (EPOCH) study is a national population-based prospective observational study of US Veterans Health Administration primary care patients designed to assess effects of evolving opioid prescribing practice on patients treated with long-term opioids for chronic pain. A stratified random sampling design was used to identify a survey sample from the target population of patients treated with opioid analgesics for ? 6 months. Demographic, diagnostic, visit, and pharmacy dispensing data were extracted from existing datasets. A 2016 mixed-mode mail and telephone survey collected patient-reported data, including the main patient-reported outcomes of pain-related function (Brief Pain Inventory interference; BPI-I scores 0-10, higher scores = worse) and health-related quality of life. Data on survey participants and non-participants were analyzed to assess potential nonresponse bias. Weights were used to account for design. Linear regression models were used to assess cross-sectional associations of opioid treatment with patient-reported measures. Of 14,160 patients contacted, 9253 (65.4%) completed the survey. Participants were older than non-participants (63.9 ± 10.6 vs. 59.6 ± 13.0 years). The mean number of bothersome pain locations was 6.8 (SE 0.04). Effectiveness of pain treatment and quality of pain care were rated fair or poor by 56.1% and 45.3%, respectively. The opioid daily dosage range was 1.6 to 1038.2 mg, with mean = 50.6 mg (SE 1.1) and median = 30.9 mg (IQR 40.7). Among the 73.2% of patients who did not receive long-acting opioids, the mean daily dosage was 30.4 mg (SE 0.6) and mean BPI-I was 6.4 (SE 00.4). Among patients who received long-acting opioids, the mean daily dosage was 106.2 mg (SE 2.8) and mean BPI-I was 6.8 (SE 0.07). Higher daily dosage was associated with worse pain-related function and quality of life among patients without long-acting opioids, but not among patients with long-acting opioids. Future analyses will use follow-up data to examine effects of opioid dose reduction and discontinuation on patient outcomes.

Project description:ObjectivesTo estimate the prevalence of epilepsy in children with Autism Spectrum Disorder (ASD) and to determine the demographic and clinical characteristics of children with ASD and epilepsy in a large patient population.MethodsCross-sectional study using four samples of children with ASD for a total of 5,815 participants with ASD. The prevalence of epilepsy was estimated from a population-based sample. Children with and without epilepsy were compared on demographic and clinical characteristics. Multivariate logistic regression was used to examine the association between demographic and clinical characteristics and epilepsy.ResultsThe average prevalence of epilepsy in children with ASD 2-17 years was 12.5%; among children aged 13 years and older, 26% had epilepsy. Epilepsy was associated with older age, lower cognitive ability, poorer adaptive and language functioning, a history of developmental regression and more severe ASD symptoms. The association between epilepsy and the majority of these characteristics appears to be driven by the lower IQ of participants with epilepsy. In a multivariate regression model, only age and cognitive ability were independently associated with epilepsy. Children age 10 or older had 2.35 times the odds of being diagnosed with epilepsy (p<.001) and for a one standard deviation increase in IQ, the odds of having epilepsy decreased by 47% (p<.001).ConclusionThis is among the largest studies to date of patients with ASD and co-occurring epilepsy. Based on a representative sample of children with ASD, the average prevalence of epilepsy is approximately 12% and reaches 26% by adolescence. Independent associations were found between epilepsy and older age and lower cognitive ability. Other risk factors, such as poor language and developmental regression, are not associated with epilepsy after controlling for IQ. These findings can help guide prognosis and alert clinicians to patients with ASD who are at increased risk for epilepsy.

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.

Dataset Information

Baseline characteristics and treatment outcomes in prescription opioid dependent patients with and without co-occurring psychiatric disorder.

Publications

Baseline characteristics and treatment outcomes in prescription opioid dependent patients with and without co-occurring psychiatric disorder.

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