A multi-site, two-phase, Prescription Opioid Addiction Treatment Study (POATS): rationale, design, and methodology

Buprenorphine treatment and clinical outcomes under the opioid use disorder cascade of care

BACKGROUND

Challenges to engagement and retention on buprenorphine undermine treatment of individuals with opioid use disorder (OUD). Under the OUD Cascade of Care framework, we sought to identify patient characteristics and treatment response associated with superior clinical outcomes.

METHODS

A retrospective cohort study of specialty buprenorphine treatment patients entering treatment (n=19,487) based on EHR records from a large multi-state buprenorphine treatment network (2011-2019). Person-level care episodes were evaluated across treatment intake, engagement (i.e. 2+ visits in the month following intake), and retention at 6, 12, and 24 months. Time to achieving 90 days of continuous opioid abstinence was assessed using Cox proportional hazards regressions models and also assessed as a predictor of long-term retention.

RESULTS

Most patients engaged (82.4 %), but retention steadily declined over 6-month (38.7 %), 12-month (26.2 %), and 24-month (17.1 %) timepoints. Opioid-positive baseline tests were associated with lower hazards of achieving continuous abstinence for both buprenorphine-positive (aHR=0.33, p<.001) and buprenorphine-negative (aHR=0.49,p<.001) intakes. Opioid abstinence was associated with buprenorphine-positive baseline testing (aHR=1.59,p<.001), especially for those testing opioid-negative (aHR=1.82,p<.001). Patients who achieved and sustained abstinence at 6 months in care were 4.1 and 5.5 times as likely to achieve 12-month and 24-month retention, respectively, compared to patients with intermittent opioid use.

CONCLUSION

Treatment discontinuation was concentrated early in care and buprenorphine and opioid status at intake were prognostic of achieving and sustaining abstinence. Early abstinence was associated with higher likelihood of subsequent stage progression. Implementing interventions to support early clinical stability for high-risk patients is critical to improve clinical outcomes.

Discontinuation of medication treatment for opioid use disorder after a successful course: The discontinuation phase of the CTN-0100 (RDD) trial

INTRODUCTION AND BACKGROUND

Buprenorphine, and extended-release naltrexone, are effective in decreasing opioid use, morbidity and mortality. The available evidence suggests that these medications should be used for long term treatment; however, patients often ask how long they need to be on medication, and whether it would be safe to discontinue. There are sparse data to guide us. The CTN-0100 trial will address this gap in our knowledge by studying participants who have decided to discontinue buprenorphine and extended-release naltrexone for OUD.

RESEARCH DESIGN AND METHODS

The trial is a multicenter, randomized, non-blinded study. Participants are stable adult volunteers, on sublingual buprenorphine, extended-release buprenorphine, or extended-release naltrexone, expressing an interest in discontinuing medication. Participants on buprenorphine must be stable for at least 1 year and participants on extended-release naltrexone must be stable for at least 6 months. Participants are engaged in the study for up to 96 weeks, including a flexible taper period, and are then transitioned to follow-up within the trial. All participants are randomly assigned to the study Medical Management (MM) or to MM plus Connections (CHESS health) digital smartphone application aimed at recovery and abstinence (MMD). Sublingual Buprenorphine participants are also randomized (2 × 2 design) to a taper using either sublingual or extended-release buprenorphine.

DISCUSSION/CONCLUSION

It is hoped that this trial will provide a rich source of data on management of patients discontinuing medication for opioid use disorder (MOUD) to inform future research and practice. The trial will shed light on which strategies are most likely to lead to long-term success (absence of relapse), and what participant characteristics distinguish those who can safely discontinue MOUD from those who remain at risk of relapse should they discontinue.

CLINICALTRIALS

gov Identifier: NCT04464980.

Development and Evaluation of a Digital App for Patient Self-Management of Opioid Use Disorder: Usability, Acceptability, and Utility Study

BACKGROUND

Self-management of opioid use disorder (OUD) is an important component of treatment. Many patients receiving opioid agonist treatment in methadone maintenance treatment settings benefit from counseling treatments to help them improve their recovery skills but have insufficient access to these treatments between clinic appointments. In addition, many addiction medicine clinicians treating patients with OUD in a general medical clinic setting do not have consistent access to counseling referrals for their patients. This can lead to decreases in both treatment retention and overall progress in the patient's recovery from substance misuse. Digital apps may help to bridge this gap by coaching, supporting, and reinforcing behavioral change that is initiated and directed by their psychosocial and medical providers.

OBJECTIVE

This study aimed to conduct an acceptability, usability, and utility pilot study of the KIOS app to address these clinical needs.

METHODS

We developed a unique, patient-centered computational software system (KIOS; Biomedical Development Corporation) to assist in managing OUD in an outpatient, methadone maintenance clinic setting. KIOS tracks interacting self-reported symptoms (craving, depressed mood, anxiety, irritability, pain, agitation or restlessness, difficulty sleeping, absenteeism, difficulty with usual activities, and conflicts with others) to determine changes in both the trajectory and severity of symptom patterns over time. KIOS then applies a proprietary algorithm to assess the individual's patterns of symptom interaction in accordance with models previously established by OUD experts. After this analysis, KIOS provides specific behavioral advice addressing the individual's changing trajectory of symptoms to help the person self-manage their symptoms. The KIOS software also provides analytics on the self-reported data that can be used by patients, clinicians, and researchers to track outcomes.

RESULTS

In a 4-week acceptability, usability (mean System Usability Scale-Modified score 89.5, SD 9.2, maximum of 10.0), and utility (mean KIOS utility questionnaire score 6.32, SD 0.25, maximum of 7.0) pilot study of 15 methadone-maintained participants with OUD, user experience, usability, and software-generated advice received high and positive assessment scores. The KIOS clinical variables closely correlated with craving self-report measures. Therefore, managing these variables with advice generated by the KIOS software could have an impact on craving and ultimately substance use.

CONCLUSIONS

KIOS tracks key clinical variables and generates advice specifically relevant to the patient's current and changing clinical state. Patients in this pilot study assigned high positive values to the KIOS user experience, ease of use, and the appropriateness, relevance, and usefulness of the specific behavioral guidance they received to match their evolving experiences. KIOS may therefore be useful to augment in-person treatment of opioid agonist patients and help fill treatment gaps that currently exist in the continuum of care. A National Institute on Drug Abuse-funded randomized controlled trial of KIOS to augment in-person treatment of patients with OUD is currently being conducted.

Individual-Level Risk Prediction of Return to Use During Opioid Use Disorder Treatment

Importance

No existing model allows clinicians to predict whether patients might return to opioid use in the early stages of treatment for opioid use disorder.

Objective

To develop an individual-level prediction tool for risk of return to use in opioid use disorder.

Design, Setting, and Participants

This decision analytical model used predictive modeling with individual-level data harmonized in June 1, 2019, to October 1, 2022, from 3 multicenter, pragmatic, randomized clinical trials of at least 12 weeks' duration within the National Institute on Drug Abuse Clinical Trials Network (CTN) performed between 2006 and 2016. The clinical trials covered a variety of treatment settings, including federally licensed treatment sites, physician practices, and inpatient treatment facilities. All 3 trials enrolled adult participants older than 18 years, with broad pragmatic inclusion and few exclusion criteria except for major medical and unstable psychiatric comorbidities.

Intervention

All participants received 1 of 3 medications for opioid use disorder: methadone, buprenorphine, or extended-release naltrexone.

Main Outcomes and Measures

Predictive models were developed for return to use, which was defined as 4 consecutive weeks of urine drug screen (UDS) results either missing or positive for nonprescribed opioids by week 12 of treatment.

Results

The overall sample included 2199 trial participants (mean [SD] age, 35.3 [10.7] years; 728 women [33.1%] and 1471 men [66.9%]). The final model based on 4 predictors at treatment entry (heroin use days, morphine- and cocaine-positive UDS results, and heroin injection in the past 30 days) yielded an area under the receiver operating characteristic curve (AUROC) of 0.67 (95% CI, 0.62-0.71). Adding UDS in the first 3 treatment weeks improved model performance (AUROC, 0.82; 95% CI, 0.78-0.85). A simplified score (CTN-0094 OUD Return-to-Use Risk Score) provided good clinical risk stratification wherein patients with weekly opioid-negative UDS results in the 3 weeks after treatment initiation had a 13% risk of return to use compared with 85% for those with 3 weeks of opioid-positive or missing UDS results (AUROC, 0.80; 95% CI, 0.76-0.84).

Conclusions and Relevance

The prediction model described in this study may be a universal risk measure for return to opioid use by treatment week 3. Interventions to prevent return to regular use should focus on this critical early treatment period.

Risks of returning to opioid use at treatment entry and early in opioid use disorder treatment: Role of non-opioid substances

OBJECTIVE

Patients in treatment with medications for opioid use disorder (MOUD) often report use of other substances in addition to opioids. Few studies exist that examine the relationship between use at treatment entry and early non-opioid use in opioid treatment outcome.

METHODOLOGY

We combined and harmonized three randomized, controlled MOUD clinical trials from the National Institutes of Drug Abuse (NIDA) Clinical Trials Network (CTN) (N=2197) and investigated the association of non-opioid substance use at treatment entry and during early treatment with a return to opioid use. The trials compared MOUD treatment (buprenorphine, methadone, extended-release naltrexone) in populations with opioid use disorder (OUD). Non-opioid substances were identified through harmonizing self-reported use. The primary outcomes were markers of return to opioid use by 12 weeks.

RESULTS

When treatment cohorts were adjusted, no association between self-reported treatment entry use of non-opioid substances and week-12 opioid use was detected. During the first month of treatment, higher use of cocaine (OR 1.41 [1.18-1.69]) and amphetamine (OR 1.70 [1.27-2.26]) was found to be associated with higher likelihood of illicit opioid use by week 12. Exploratory analyses of potential treatment cohort-by-predictor interactions showed that those with heavier cocaine use had a lower rate of returning to opioid use in the extended-release naltrexone group than in the methadone group.

CONCLUSION

Substance use other than opioids at treatment entry is not associated with relapse. Use of cocaine or amphetamines during the first few weeks of MOUD treatment may signal a worse outcome, suggesting a need for additional interventions.

Optimally Choosing Medication Type for Patients With Opioid Use Disorder

Patients with opioid use disorder (OUD) tend to get assigned to one of 3 medications based on the treatment program to which the patient presents (e.g., opioid treatment programs tend to treat patients with methadone, while office-based practices tend to prescribe buprenorphine). It is possible that optimally matching patients with treatment type would reduce the risk of return to regular opioid use (RROU). We analyzed data from 3 comparative effectiveness trials from the US National Institute on Drug Abuse Clinical Trials Network (CTN0027, 2006-2010; CTN0030, 2006-2009; and CTN0051 2014-2017), in which patients with OUD (n = 1,459) were assigned to treatment with either injection extended-release naltrexone (XR-NTX), sublingual buprenorphine-naloxone (BUP-NX), or oral methadone. We learned an individualized rule by which to assign medication type such that risk of RROU during 12 weeks of treatment would be minimized, and then estimated the amount by which RROU risk could be reduced if the rule were applied. Applying our estimated treatment rule would reduce risk of RROU compared with treating everyone with methadone (relative risk (RR) = 0.79, 95% confidence interval (CI): 0.60, 0.97) or treating everyone with XR-NTX (RR = 0.71, 95% CI: 0.47, 0.96). Applying the estimated treatment rule would have resulted in a similar risk of RROU to that of with treating everyone with BUP-NX (RR = 0.92, 95% CI: 0.73, 1.11).

Risk of Experiencing an Overdose Event for Patients Undergoing Treatment With Medication for Opioid Use Disorder

OBJECTIVE

Overdose risk during a course of treatment with medication for opioid use disorder (MOUD) has not been clearly delineated. The authors sought to address this gap by leveraging a new data set from three large pragmatic clinical trials of MOUD.

METHODS

Adverse event logs, including overdose events, from the three trials (N=2,199) were harmonized, and the overall risk of having an overdose event in the 24 weeks after randomization was compared for each study arm (one methadone, one naltrexone, and three buprenorphine groups), using survival analysis with time-dependent Cox proportional hazard models.

RESULTS

By week 24, 39 participants had ≥1 overdose event. The observed frequency of having an overdose event was 15 (5.30%) among 283 patients assigned to naltrexone, eight (1.51%) among 529 patients assigned to methadone, and 16 (1.15%) among 1,387 patients assigned to buprenorphine. Notably, 27.9% of patients assigned to extended-release naltrexone never initiated the medication, and their overdose rate was 8.9% (7/79), compared with 3.9% (8/204) among those who initiated naltrexone. Controlling for sociodemographic and time-varying medication adherence variables and baseline substance use, a proportional hazard model did not show a significant effect of naltrexone assignment. Significantly higher probabilities of experiencing an overdose event were observed among patients with baseline benzodiazepine use (hazard ratio=3.36, 95% CI=1.76, 6.42) and those who either were never inducted on their assigned study medication (hazard ratio=6.64, 95% CI=2.12, 19.54) or stopped their medication after initial induction (hazard ratio=4.04, 95% CI=1.54, 10.65).

CONCLUSIONS

Among patients with opioid use disorder seeking medication treatment, the risk of overdose events over the next 24 weeks is elevated among those who fail to initiate or discontinue medication and those who report benzodiazepine use at baseline.

Buprenorphine & methadone dosing strategies to reduce risk of relapse in the treatment of opioid use disorder

BACKGROUND

Although there is consensus that having a "high-enough" dose of buprenorphine (BUP-NX) or methadone is important for reducing relapse to opioid use, there is debate about what this dose is and how it should be attained. We estimated the extent to which different dosing strategies would affect risk of relapse over 12 weeks of treatment, separately for BUP-NX and methadone.

METHODS

This was a secondary analysis of three comparative effectiveness trials. We examined four dosing strategies: 1) increasing dose in response to participant-specific opioid use, 2) increasing dose weekly until some minimum dose (16 mg BUP, 100 mg methadone) was reached, 3) increasing dose weekly until some minimum and increasing dose in response to opioid use thereafter (referred to as the "hybrid strategy"), and 4) keeping dose constant after the first 2 weeks of treatment. We used a longitudinal sequentially doubly robust estimator to estimate contrasts between dosing strategies on risk of relapse.

RESULTS

For BUP-NX, increasing dose following the hybrid strategy resulted in the lowest risk of relapse. For methadone, holding dose constant resulted in greatest risk of relapse; the other three strategies performed similarly. For example, the hybrid strategy reduced week 12 relapse risk by 13 % (RR: 0.87, 95 %CI: 0.83-0.95) and by 20 % (RR: 0.80, 95 %CI: 0.71-0.90) for BUP-NX and methadone respectively, as compared to holding dose constant.

CONCLUSIONS

Doses should be targeted toward minimum thresholds and, in the case of BUP-NX, raised when patients continue to use opioids.

French-Canadian Translation and Cultural Adaptation of the Clinical Opiate Withdrawal Scale: The COWS-FC

OBJECTIVE

The main objective of the present study was to develop a French-Canadian translation and adaptation of the COWS (i.e., the COWS-FC) for the assessment of opioid withdrawal symptoms in clinical and research settings.

METHODS

The French-Canadian translation and cultural adaptation of the COWS was performed following guidelines for the translation and cross-cultural adaptation of self-report measures. The steps consisted of (1) initial translation from English to French, (2) synthesis of the translation, (3) back-translation from French to English, (4) expert committee meeting, (5) test of the prefinal version among healthcare professionals and (6) review of final version by the expert committee. The expert committee considered four major areas where the French-Canadian version should achieve equivalence with the original English-version of the COWS. These areas were (1) semantic equivalence; (2) idiomatic equivalence; (3) experiential equivalence and (4) conceptual equivalence.

RESULTS

Rigorous steps based on the guidelines for the translation and cultural adaptation of assessment tools were followed, which led to a semantically equivalent version of the COWS. After a pretest among healthcare professionals, members from the expert committee agreed upon slight modifications to the French-Canadian version of the COWS to yield a final COWS-FC version.

CONCLUSIONS

A French-Canadian translation and adaptation of the COWS (i.e., the COWS-FC) was developed. The COWS-FC could be used for the assessment of opioid withdrawal symptoms in clinical and research settings.

Cannabidiol Effect on Cue-Induced Craving for Individuals with Opioid Use Disorder Treated with Buprenorphine: A Small Proof-of-Concept Open-Label Study

Background:

Opioid use disorder (OUD) remains a major public health concern. Despite the use of medications for OUD such as buprenorphine, the current gold-standard treatment, relapse in the context of increased craving remains common. Cannabidiol (CBD) has been shown to reduce cue-induced craving in individuals with OUD, but among those who were not receiving any buprenorphine treatment. This small proof-of-concept open-label study sought to evaluate the effect of CBD on cue-induced craving among individuals with OUD who were being actively treated with buprenorphine.

Methods:

Participants (n = 5) received CBD (Epidiolex^®) 600 mg once daily for 3 consecutive days in an open-label manner. Primary outcome was cue-induced craving measured on a visual analog scale of 0 to 10, calculated as the difference in craving in response to drug-related versus neutral cues. The cue-reactivity paradigm was performed at baseline before CBD administration, and was repeated after 3 days of CBD. Secondary outcomes included scores on depression, anxiety, pain, opioid withdrawal, and side effects.

Results:

All participants were actively taking buprenorphine for an average of 37.8 months (range 1–120 months). Cue-induced craving was significantly lower after CBD dosing compared with baseline (0.4 vs. 3.2, paired t-test, p = 0.0046). No significant changes in scores for depression, anxiety, pain, or opioid withdrawal were noted. CBD was well tolerated, although one participant experienced moderate sedation; otherwise, no other adverse effects were reported.

Conclusions:

Given the high risk for bias in a small uncontrolled open label study such as this, results must be interpreted with caution. A larger adequately powered trial with a suitable control group is needed to confirm the finding that CBD may help to reduce cue-induced craving among individuals with OUD currently on buprenorphine treatment. Research should further evaluate whether adjunctive use of CBD can improve clinical outcomes for individuals with OUD maintained on buprenorphine. ClinicalTrials.gov (NCT04192370).

Under-representation of key demographic groups in opioid use disorder trials

Background

The extent to which clinical trials of medications for opioid use disorder (MOUD) are representative or not is unknown. Some patient characteristics modify MOUD effectiveness; if these same characteristics differ in distribution between the trial population and usual-care population, this could contribute to lack of generalizability-a discrepancy between trial and usual-care effectiveness. Our objective was to identify interpretable, multidimensional subgroups who were prescribed MOUD in substance use treatment programs in the US but who were not represented or under-represented by clinical trial participants.

Methods

This was a secondary descriptive analysis of trial and real-world data. The trial data included twenty-seven US opioid treatment programs in the National Drug Abuse Treatment Clinical Trials Network, N = 2,199 patients. The real-world data included US substance use treatment programs that receive public funding, N = 740,015 patients. We characterized real-world patient populations who were non-represented and under-represented in the trial data in terms of sociodemographic and clinical characteristics that could modify MOUD effectiveness.

Results

We found that 10.7% of MOUD patients in TEDS-A were not represented in the three clinical trials. As expected, pregnant MOUD patients (n = 19,490) were not represented. Excluding pregnancy, education and marital status from the characteristics, 2.6% of MOUD patients were not represented. Patients aged 65 years and older (n = 11,204), and those 50-64 years who identified as other (non-White, non-Black, and non-Hispanic) race/ethnicity or multi-racial (n = 7,281) were under-represented.

Conclusions

Quantifying and characterizing non- or under-represented subgroups in trials can provide the data necessary to improve representation in future trials and address research-to-practice gaps.

A pilot study of benzodiazepine cue-induced craving

OBJECTIVES

The misuse of benzodiazepines is a growing concern due to increases in both access to these medications and their associated public health harms, most concerningly risk for overdose when combined with other substances. Although cue reactivity-the subjective and physiological response to cues or reminders of substance use-has been identified for most major classes of substances, it has yet to be studied with benzodiazepines. In this preliminary study, our objective was to assess whether images of benzodiazepines were associated with greater craving and anxiety than neutral images in adults who reported misuse of benzodiazepines.

METHODS

We recruited a sample of 38 adults from a substance use disorder treatment setting and administered a standard cue reactivity task using pictorial images along with a battery of self-report measures.

RESULTS

Results indicated significantly higher craving and anxiety in response to benzodiazepine relative to neutral cues, with cues eliciting a moderate to high level of craving, on average. Craving was associated with several risk factors for benzodiazepine misuse, including insomnia and distress intolerance.

CONCLUSIONS

This preliminary study suggests that benzodiazepine cues can become conditioned to elicit craving responses and that the degree of cue reactivity is correlated with known risk factors for benzodiazepine misuse.

Assessing Opioid Use Disorder Treatments in Trials Subject to Non-Adherence via a Functional Generalized Linear Mixed-Effects Model

The opioid crisis in the United States poses a major threat to public health due to psychiatric and infectious disease comorbidities and death due to opioid use disorder (OUD). OUD is characterized by patterns of opioid misuse leading to persistent heavy use and overdose. The standard of care for treatment of OUD is medication-assisted treatment, in combination with behavioral therapy. Medications for opioid use disorder have been shown to improve OUD outcomes, including reduction and prevention of overdose. However, understanding the effectiveness of such medications has been limited due to non-adherence to assigned dose levels by study patients. To overcome this challenge, herein we develop a model that views dose history as a time-varying covariate. Proceeding in this fashion allows the model to estimate dose effect while accounting for lapses in adherence. The proposed model is used to conduct a secondary analysis of data collected from six efficacy and safety trials of buprenorphine maintenance treatment. This analysis provides further insight into the time-dependent treatment effects of buprenorphine and how different dose adherence patterns relate to risk of opioid use.

Emotional distress and pain catastrophizing predict cue-elicited opioid craving among chronic pain patients on long-term opioid therapy

BACKGROUND

Individuals who use illicit substances exhibit cue-elicited craving and autonomic cue-reactivity when exposed to cues associated with past drug use. However, little is known about this phenomenon among chronic pain patients on long-term opioid therapy (LTOT). Negative cognitive-emotional reactivity in general (e.g., distress) and cognitive-emotional reactivity specific to pain (e.g., pain catastrophizing) might drive cue-reactivity independent of pain severity. Here we examined emotional distress and pain catastrophizing as predictors of cue-reactivity among a sample of chronic pain patients receiving LTOT. We also tested whether associations between distress, catastrophizing, and cue-reactivity differed as a function of opioid misuse status.

MATERIALS AND METHODS

Patients receiving LTOT (N = 243) were classified as exhibiting aberrant behavior consistent with opioid misuse (MISUSE+, n = 145) or as using opioids as prescribed (MISUSE-, n = 97). Participants completed assessments of pain catastrophizing and emotional distress and then participated in an opioid cue-reactivity task one week later. Cue-elicited opioid craving and autonomic cue-reactivity were measured with craving ratings and high-frequency heart rate variability (HRV), respectively.

RESULTS

Distress and catastrophizing predicted cue-elicited craving and HRV, whereas pain severity did not. Misuser status moderated the relationship between emotional distress and self-reported craving, such that higher levels of distress predicted craving among the MISUSE+ group, but not among the MISUSE- group. No moderating effects were found for catastrophizing.

CONCLUSIONS

Findings suggest that although opioids are prescribed for analgesia, the exacerbating influence of negative cognitive-emotional reactivity, both in general and specific to pain, on cue-elicited opioid craving extends beyond the effects of pain severity alone.

Effects of Buprenorphine Dose and Therapeutic Engagement on Illicit Opiate Use in Opioid Use Disorder Treatment Trials

The impact of agonist dose and of physician, staff and patient engagement on treatment have not been evaluated together in an analysis of treatment for opioid use disorder. Our hypotheses were that greater agonist dose and therapeutic engagement would be associated with reduced illicit opiate use in a time-dependent manner. Publicly-available treatment data from six buprenorphine efficacy and safety trials from the Federally-supported Clinical Trials Network were used to derive treatment variables. Three novel predictors were constructed to capture the time weighted effects of buprenorphine dosage (mg buprenorphine per day), dosing protocol (whether physician could adjust dose), and clinic visits (whether patient attended clinic). We used time-in-trial as a predictor to account for the therapeutic benefits of treatment persistence. The outcome was illicit opiate use defined by self-report or urinalysis. Trial participants (N = 3022 patients with opioid dependence, mean age 36 years, 33% female, 14% Black, 16% Hispanic) were analyzed using a generalized linear mixed model. Treatment variables dose, Odds Ratio (OR) = 0.63 (95% Confidence Interval (95%CI) 0.59−0.67), dosing protocol, OR = 0.70 (95%CI 0.65−0.76), time-in-trial, OR = 0.75 (95%CI 0.71−0.80) and clinic visits, OR = 0.81 (95%CI 0.76−0.87) were significant (p-values < 0.001) protective factors. Treatment implications support higher doses of buprenorphine and greater engagement of patients with providers and clinic staff.

Pharmacological Management of Heroin Withdrawal Syndrome: A Century of Expert Opinions in Cecil Textbook of Medicine

BACKGROUND

Opioid use disorder continues to have a significant impact on public health morbidity and mortality throughout the United States and elsewhere. Managing opioid withdrawal is a critical treatment goal in individuals entering treatment with an active opioid use.

STUDY QUESTION

What are the milestones of the changes in the expert approach to the pharmacological management of heroin withdrawal syndrome in the past century?

STUDY DESIGN

To determine the changes in the expert approach to the management of heroin withdrawal syndrome, as presented in a widely used textbook in the United States.

DATA SOURCES

The chapters on opioid dependence in the 26 editions of Cecil Textbook of Medicine published from 1927 through 2020.

RESULTS

Opioid replacement taper with morphine (1927-1947), codeine (1931-1943), and methadone (1951-present) administered more than 3-10 days has remained the main intervention. The anticholinergic drugs, scopolamine and atropine, were recommended from 1927 to 1943, but their use has never been backed by scientific evidence. Newer approaches relied on clonidine, an alpha-2 receptor agonist used since 1982, and buprenorphine, an opioid agonist/antagonist endorsed for the treatment of heroin withdrawal in 2000. The most recent additions place withdrawal management in the context of treatment of opioid use disorder as a chronic illness that is best managed using medications for opioid use disorder.

CONCLUSIONS

The pharmacological management of heroin withdrawal syndrome in the past century has progressed from the introduction of methadone to the utilization of clonidine and buprenorphine. More recent advances in treating opioid use disorder have changed the goals of opioid withdrawal management to achievement of abstinence from all opioids to facilitation of long-term treatment with medications for opioid use disorder.

Do people with opioid use disorder and posttraumatic stress disorder benefit from dding Individual opioid Drug Counseling to buprenorphine?

BACKGROUND AND PURPOSE

Large randomized trials have found that behavioral therapy for opioid use disorder (e.g., Individual Drug Counseling, Cognitive Behavioral Therapy for Opioid Use Disorder) does not improve buprenorphine maintenance outcomes, on average, for individuals with opioid use disorder. However, recent studies indicate that certain subgroups of patients may benefit from the addition of behavioral therapy to buprenorphine. In particular, people with more complex and severe psychosocial needs may benefit from the addition of behavioral therapy for opioid use disorder.

METHODS

In this study, we conducted a secondary analysis of a large, multi-site randomized trial (N = 357) of buprenorphine maintenance with and without individual Opioid Drug Counseling (ODC) for the treatment of opioid use disorder. We hypothesized that participants with posttraumatic stress disorder (PTSD) would benefit from the addition of ODC.

RESULTS

Logistic regression models indicated a significant PTSD by treatment condition interaction. Specifically, 67% of those with PTSD had a successful opioid use disorder treatment outcome when they were assigned to receive both ODC and buprenorphine, compared to a 36% response rate among those who received buprenorphine alone.

CONCLUSIONS

Although these results require replication, our findings provide initial indication that ODC is an important complement to buprenorphine maintenance treatment for people with co-occurring PTSD and opioid use disorder.

Evaluation of Buprenorphine Rotation in Patients Receiving Long-term Opioids for Chronic Pain: A Systematic Review

IMPORTANCE

Individuals with chronic pain who use long-term opioid therapy (LTOT) are at risk of opioid use disorder and other harmful outcomes. Rotation to buprenorphine may be considered, but the outcomes of such rotation in this population have not been systematically reviewed.

OBJECTIVE

To synthesize the evidence on rotation to buprenorphine from full μ-opioid receptor agonists among individuals with chronic pain who were receiving LTOT, including the outcomes of precipitated opioid withdrawal, pain intensity, pain interference, treatment success, adverse events or adverse effects, mental health condition, and health care use.

EVIDENCE REVIEW

PubMed, CINAHL, Embase, and PsycInfo were searched from inception through November 3, 2020, for peer-reviewed original English-language research that reported the prespecified outcomes of rotation from prescribed long-term opioids to buprenorphine among individuals with chronic pain. Two independent reviewers extracted data as well as assessed risk of bias and study quality according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. Quality of evidence was assessed with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system.

FINDINGS

A total of 22 studies were analyzed, of which 5 (22.7%) were randomized clinical trials, 7 (31.8%) were case-control or cohort studies, and 10 (45.5%) were uncontrolled pre-post studies, which involved 1616 unique participants (675 female [41.8%] and 941 male [58.2%] individuals). Six of the 22 studies (27.3%) were primary or secondary analyses of a large randomized clinical trial. Participants had diverse pain and opioid use histories. Rationale for buprenorphine rotation included inadequate analgesia, intolerable adverse effects, risky opioid regimens (eg, high dose and/or sedative coprescriptions), and aberrant opioid use. Most protocols were adapted from protocols for initiating treatment in patients with opioid use disorder and used buccal or sublingual buprenorphine. Very low-quality evidence suggested that buprenorphine rotation was associated with maintained or improved analgesia, with a low risk of precipitating opioid withdrawal. Steady-dose buprenorphine was better tolerated than tapered-dose buprenorphine. Adverse effects were manageable, and severe adverse events were rare. Only 2 studies evaluated mental health outcomes, but none evaluated health care use. Limitations included a high risk of bias in most studies.

CONCLUSIONS AND RELEVANCE

In this systematic review, buprenorphine was associated with reduced chronic pain intensity without precipitating opioid withdrawal in individuals with chronic pain who were receiving LTOT. Future studies are necessary to ascertain the ideal starting dose, formulation, and administration frequency of buprenorphine as well as the best approach to buprenorphine rotation.

Impact of Current Pain Status on Low-Barrier Buprenorphine Treatment Response Among Patients with Opioid Use Disorder

OBJECTIVE

Chronic non-cancer pain (CNCP) is prevalent among individuals with opioid use disorder (OUD). However, the impact of CNCP on buprenorphine treatment outcomes is largely unknown. In this secondary analysis, we examined treatment outcomes among individuals with and without CNCP who received a low-barrier buprenorphine maintenance regimen during waitlist delays to more comprehensive opioid treatment.

METHODS

Participants were 28 adults with OUD who received 12 weeks of buprenorphine treatment involving bimonthly clinic visits, computerized medication dispensing, and phone-based monitoring. At intake and monthly follow-up assessments, participants completed the Brief Pain Inventory, Beck Anxiety Inventory, Beck Depression Inventory (BDI-II), Brief Symptom Inventory (BSI), Addiction Severity Index, and staff-observed urinalysis.

RESULTS

Participants with CNCP (n = 10) achieved comparable rates of illicit opioid abstinence as those without CNCP (n = 18) at weeks 4 (90% vs 94%), 8 (80% vs 83%), and 12 (70% vs 67%) (P = 0.99). Study retention was also similar, with 90% and 83% of participants with and without CNCP completing the 12-week study, respectively (P = 0.99). Furthermore, individuals with CNCP demonstrated significant improvements on the BDI-II and Global Severity Index subscale of the BSI (P < 0.05). However, those with CNCP reported more severe medical problems and smaller reductions in legal problems relative to those without CNCP (P = 0.03).

CONCLUSIONS

Despite research suggesting that chronic pain may influence OUD treatment outcomes, participants with and without CNCP achieved similar rates of treatment retention and significant reductions in illicit opioid use and psychiatric symptomatology during low-barrier buprenorphine treatment.

Benzodiazepine misuse among adults receiving psychiatric treatment

Benzodiazepines are among the most commonly prescribed psychiatric medications and have the potential for misuse. People with psychiatric disorders may have a heightened liability to the reinforcing effects of benzodiazepines. Yet, the prevalence of benzodiazepine misuse in psychiatric care settings is not well characterized. The aim of the current study was to characterize the prevalence and correlates of benzodiazepine misuse in a sample of adults receiving psychiatric treatment (N = 589). The majority of participants reported a lifetime history of benzodiazepine prescription (68%) and 26% reported a lifetime history of misuse (defined as use without a prescription or at a dose or frequency higher than prescribed). Multivariable analyses indicated that history of a benzodiazepine prescription and drug use problems were significantly associated with lifetime benzodiazepine misuse. People with a history of benzodiazepine prescription had four times higher odds of misusing benzodiazepines and the primary source of misused benzodiazepines was from family or friends. Results suggest that benzodiazepine misuse is not exclusive to substance use disorder populations. The misuse of benzodiazepines should be assessed in psychiatric settings. Further research is needed to understand the impact of benzodiazepine misuse in this population and to develop tools to identify those at risk for misuse.

Depression history as a predictor of outcomes during buprenorphine-naloxone treatment of prescription opioid use disorder

BACKGROUND

In the multi-site Prescription Opioid Addiction Treatment Study (POATS), the best predictor of successful opioid use outcome was lifetime diagnosis of major depressive disorder. The primary aim of this secondary analysis of data from POATS was to empirically assess two explanations for this counterintuitive finding.

METHODS

The POATS study was a national, 10-site randomized controlled trial (N = 360 enrolled in the 12-week buprenorphine-naloxone maintenance treatment phase) sponsored by the NIDA Clinical Trials Network. We evaluated how the presence of a history of depression influences opioid use outcome (negative urine drug assays). Using adjusted logistic regression models, we tested the hypotheses that 1) a reduction in depressive symptoms and 2) greater motivation and engagement in treatment account for the association between depression history and good treatment outcome.

RESULTS

Although depressive symptoms decreased significantly throughout treatment (p <.001), this improvement was not associated with opioid outcomes (aOR = 0.98, ns). Reporting a goal of opioid abstinence at treatment entry was also not associated with outcomes (aOR = 1.39, ns); however, mutual-help group participation was associated with good treatment outcomes (aOR = 1.67, p <.05). In each of these models, lifetime major depressive disorder remained associated with good outcomes (aORs = 1.63-1.82, ps = .01-.055).

CONCLUSIONS

Findings are consistent with the premise that greater engagement in treatment is associated with good opioid outcomes. Nevertheless, depression history continues to be associated with good opioid outcomes in adjusted models. More research is needed to understand how these factors could improve treatment outcomes for those with opioid use disorder.

Parallel modeling of pain and depression in prediction of relapse during buprenorphine and naloxone treatment: A finite mixture model

BACKGROUND

Relapse is common in treatment for opioid use disorders (OUDs). Pain and depression often co-occur during OUD treatment, yet little is known about how they influence relapse among patients with a primary diagnosis of prescription opioid use disorder (POUD). Advanced statistical analyses that can simultaneously model these two conditions may lead to targeted clinical interventions.

METHOD

The objective of this study was to utilize a discrete survival analysis with a growth mixture model to test time to prescription opioid relapse, predicted by parallel growth trajectories of depression and pain, in a clinical sample of patients in buprenorphine/naloxone treatment. The latent class analysis characterized heterogeneity with data collected from the National Institute of Drug Abuse Clinical Trials Network project (CTN-0030).

RESULTS

Results suggested that a 4-class solution was the most parsimonious based on global fit indices and clinical relevance. The 4 classes identified were: 1) low relapse, 2) high depression and moderate pain, 3) high pain, and 4) high relapse. Odds ratios for time-to-first use indicated no statistically significant difference in time to relapse between the high pain and the high depression classes, but all other classes differed significantly.

CONCLUSION

This is the first longitudinal study to characterize the influence of pain, depression, and relapse in patients receiving buprenorphine and naloxone treatment. These results emphasize the need to monitor the influence of pain and depression during stabilization on buprenorphine and naloxone. Future work may identify appropriate interventions that can be introduced to extend time-to-first prescription opioid use among patients.

Psychosocial intervention utilization and substance abuse treatment outcomes in a multisite sample of individuals who use opioids

BACKGROUND

There are several relatively safe and effective FDA-approved medications for Opioid Use Disorder (OUD). Despite the existence of these medications, the rate of returning to opioid use after treatment is relatively high, underscoring the need for continued enhancement of treatments. Adjunctive psychosocial interventions paired with medication have been shown to improve OUD treatment outcomes. However, studies have yet to conclusively examine the distinct effects of the most widely utilized psychosocial treatment modalities. The current study will investigate the relationship between individual counseling, group therapy, and 12-Step participation and illicit opioid abstinence at the end of treatment, 1 and 3 months after treatment.

METHOD

A secondary analysis was conducted with data from a sample of 570 individuals diagnosed with OUD who were recruited from eight substance abuse treatment centers in the United States. Participants were enrolled in a two-group randomized, controlled trial testing buprenorphine-naloxone versus extended-release naltrexone for OUD. A two-level hierarchical linear growth model was used to examine the effects of individual counseling, group therapy, and 12-Step participation on illicit opioid abstinence (urinanalyses) 1- and 3-months post-treatment.

RESULTS

Hours of individual counseling and 12-Step participation significantly predicted abstinence at follow-up (p < .001, b = -0.59, 95% CI [0.42, 0.74]; p < .01, b = -0.05, 95% CI [0.92, 0.98]). There was a significant interaction between individual counseling and 12-Step participation (p < .01, b = -0.06, 95% CI [1.02, 1.10]). Additionally, participant age and employment status were significant predictors of illicit opioid abstinence (p < .01, b = -0.02, 95% CI [0.97, 0.99]; p < .01, b = -0.38, 95% CI [0.52, 0.90]). Hours of group therapy was not found to significantly predict illicit opioid abstinence.

CONCLUSIONS

Findings suggest that greater levels of individual therapy and 12-Step participation may be beneficial for individuals receiving medication treatment for OUD.

Effects of craving on opioid use are attenuated after pain coping counseling in adults with chronic pain and prescription opioid addiction

OBJECTIVE

Risk for prescription opioid addiction is an endemic public health concern, especially for adults with chronic pain. This study examined craving as a mediator from pain to opioid use outcomes during prescription opioid addiction treatment and tested whether counseling in pain coping skills moderated the effects of craving on treatment outcomes.

METHOD

Secondary analysis on a sample (N = 148) randomized to standard or enhanced counseling for 12 weeks with adjunct opioid maintenance medication. Multilevel analyses examined mediated effects between weekly pain, craving, and opioid use, and tested the interaction between craving and a counseling module on pain coping skills.

RESULTS

Greater pain predicted greater craving (β = 0.25, p < .001), which predicted next-week opioid use (β = 0.17, p < .001). A statistically significant indirect effect of craving (β = 0.04, 95% CI [0.02, 0.06]) mediated 95% of the total effect from pain to opioid use. A significant interaction (b = -0.22, p < .01) revealed that after receiving the pain coping module, the association between craving and next-week opioid use was reduced, with greater exposure to the module associated with stronger effects (b = -0.12, p < .01).

CONCLUSION

More severe pain predicts greater opioid use due to the association between pain and cravings. Pain coping skills counseling suppressed the association between cravings and opioid use. For adults with chronic pain receiving treatment for prescription opioid addiction, interventions that address cravings through behavioral pain coping skills may be crucial for achieving optimal treatment outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Long-term naturalistic follow-up of chronic pain in adults with prescription opioid use disorder

BACKGROUND

Chronic pain is common in patients with prescription opioid use disorder (OUD), and pain severity has been shown to predict opioid use for those with chronic pain. However, recent research suggests that focusing on pain status (i.e., the presence or absence of chronic pain) at treatment initiation may not reflect the clinical significance of pain over the long-term course of OUD. Reports of variability in chronic pain and its clinical significance over time have yet to be investigated in patients with prescription OUD. The present study examined variability in chronic pain status from entry into prescription OUD treatment through 3.5-year follow-up. Additionally, we examined the association between concurrent chronic pain and opioid use at three follow-up time points.

METHODS

This secondary analysis (N = 309) of a national, randomized, controlled trial of prescription OUD treatment used generalized estimating equations to assess variability in the prevalence of chronic pain from study entry to 3.5-year follow-up, and the association between chronic pain status and concurrent opioid use.

RESULTS

Fifty-three percent of participants reported variability in chronic pain status over time. The prevalence of chronic pain decreased from study entry through follow-up (aOR = 0.47, p < 0.001). Chronic pain was associated with increased opioid use at each follow-up assessment (aOR = 3.56, p < 0.001).

CONCLUSIONS

Chronic pain status may vary over time in those with prescription OUD, and chronic pain appears to be associated with concurrent opioid use. The present findings highlight the importance of assessing chronic pain throughout the course of prescription OUD.

Drug interactions of dipeptidyl peptidase 4 inhibitors involving CYP enzymes and P-gp efflux pump

Dipeptidyl peptidase 4 (DPP4) inhibitors are oral antidiabetic drugs approved to manage type 2 diabetes mellitus. Saxagliptin is a substrate of CYP3A4/5 enzymes while other DPP4 inhibitors such as sitagliptin, linagliptin, gemigliptin and teneligliptin are weak substrates of CYP3A4. DPP4 inhibitors have also been identified as substrates of P-gp. Hence, the drugs inhibiting or inducing CYP3A4/5 enzymes and/or P-gp can alter the pharmacokinetics of DPP4 inhibitors. This review is aimed to identify the drugs interacting with DPP4 inhibitors. The plasma concentrations of saxagliptin have been reported to be increased significantly by the concomitant administration of ketoconazole or diltiazem while no significant interactions between various DPP4 inhibitors and drugs like warfarin, digoxin or cyclosporine have been identified.

Smartphone Apps Targeting Alcohol and Illicit Substance Use: Systematic Search in in Commercial App Stores and Critical Content Analysis

Background

Smartphone apps promise to enhance the reach of evidence-based interventions (cognitive behavior therapy, contingency management and therapeutic education system) for populations with substance use disorders, with minimal disruption to health systems. However, further studies are needed to systematically evaluate smartphone apps targeting alcohol and illicit substances.

Objective

The aim of this study was to evaluate the functionality, aesthetics, and quality of information of free or low-cost apps claiming to target alcohol, benzodiazepine, cocaine, crack/cocaine, crystal methamphetamine, and heroin use using the validated Mobile App Rating Scale (MARS) and critical content analysis.

Methods

A systematic search of iTunes and Google Play app stores for free or low-cost apps facilitating recovery was conducted in March 2018 and yielded 904 apps using the keywords described in previous studies (eg, recovery, sobriety, sober, alcohol, and heroin). An interdisciplinary team of clinicians, behavioral informatics, and public health reviewers trained in substance use disorders conducted a descriptive analysis of 74 apps categorized as reducing use. In addition to the MARS scale, a descriptive analysis of relevant apps was conducted by the study team to assess for quality indicators emphasized by expert guidelines and review articles.

Results

Most apps (n=74) claimed to reduce use or promote abstinence and yielded an overall low median MARS score of 2.82 (0.55) and a wide range of scores (1.64, 4.20). Ratings were also low for engagement (2.75 (0.72)), functionality (3.64 (0.78)), aesthetics (3.03 (0.87)), information (2.82 (0.62)), and satisfaction (1.76 (0.67)) subdomains. Innovative design and content features elicited in the review included initial assessments of substance use following app download, tracking substance use, and related consequences (eg, cost or calorie intake), remote and proximate peer support per geospatial positioning, and allowing users and family members of individuals with substance use disorders to locate 12-step meetings, treatment programs, and mental health services. Few apps integrated evidence-based psychotherapeutic (eg, cognitive behavioral therapy [CBT] or motivational interviewing) and pharmacologic interventions (eg, naloxone or buprenorphine).

Conclusions

Few commercially available apps yielded in our search integrated evidence-based interventions (eg, extended-release naltrexone, buprenorphine, naloxone, Self-Management and Recovery Training recovery, or CBT), and a concerning number of apps promoted harmful drinking and illicit substance use.

Characteristics and experiences of buprenorphine-naloxone use among polysubstance users

BACKGROUND

With a rise in overdoses and medical emergencies related to opioids, buprenorphine-naloxone (bup-nx) is seen as a preferred treatment for opioid dependence. However, the research examining experiences with bup-nx among polysubstance users who may or may not be opioid dependent has been limited.

OBJECTIVES

The purpose of the study was to examine use, characteristics of users, and experiences of bup-nx use among polysubstance users entering drug-free recovery programs.

METHODS

This study examined secondary data on 896 opioid or opiate user individuals (53.4% male) collected by drug-free, self-help-based residential recovery centers during intake.

RESULTS

One-quarter of users said bup-nx helped them with their substance use while 75% of bup-nx users reported that bup-nx either had no effect or a negative effect on their drug problems. Of the very few (4%-7%) obtaining bup-nx solely through a prescription, over 90% reported relief from withdrawal. However, over 80% of those who obtained bup-nx through illicit means reported using bup-nx until their preferred drug could be obtained and used it for its euphoriant effect. Three groups of opioid users were created including one group with no bup-nx use, one with lifetime but not recent bup-nx use, and one with recent (past 6 month) use. There were differences in substance use patterns and characteristics of bup-nx experiences between the different groups.

CONCLUSIONS

Results suggest that the views of bup-nx by individuals in drug-free recovery centers are varied, with many seeing bup-nx as not unlike other opioids while others report bup-nx as self-medication.

Volatility and change in chronic pain severity predict outcomes of treatment for prescription opioid addiction

BACKGROUND AND AIMS

Buprenorphine-naloxone (BUP-NLX) can be used to manage prescription opioid addiction among persons with chronic pain, but post-treatment relapse is common and difficult to predict. This study estimated whether changes in pain over time and pain volatility during BUP-NLX maintenance would predict opioid use during the taper BUP-NLX taper.

DESIGN

Secondary analysis of a multi-site clinical trial for prescription opioid addiction, using data obtained during a 12-week BUP-NLX stabilization and 4-week BUP-NLX taper.

SETTING

Community clinics affiliated with a national clinical trials network in 10 US cities.

PARTICIPANTS

Subjects with chronic pain who entered the BUP-NLX taper phase (n = 125) with enrollment occurring from June 2006 to July 2009 (52% male, 88% Caucasian, 31% married).

MEASUREMENTS

Outcomes were weekly biologically verified and self-reported opioid use from the 4-week taper phase. Predictors were estimates of baseline severity, rate of change and volatility in pain from weekly self-reports during the 12-week maintenance phase.

FINDINGS

Controlling for baseline pain and treatment condition, increased pain [odds ratio (OR) = 2.38, P = 0.02] and greater pain volatility (OR = 2.43, P = 0.04) predicted greater odds of positive opioid urine screen during BUP-NLX taper. Increased pain (IRR = 1.40, P = 0.04) and greater pain volatility [incidence-rate ratio (IRR) = 1.66, P = 0.009] also predicted greater frequency of self-reported opioid use.

CONCLUSIONS

Adults with chronic pain receiving out-patient treatment with buprenorphine-naloxone (BUP-NLX) for prescription opioid addiction have an elevated risk for opioid use when tapering off maintenance treatment. Those with relative persistence in pain over time and greater volatility in pain during treatment are less likely to sustain abstinence during BUP-NLX taper.

Buprenorphine for managing opioid withdrawal

BACKGROUND

Managed withdrawal is a necessary step prior to drug-free treatment or as the endpoint of substitution treatment.

OBJECTIVES

To assess the effects of buprenorphine versus tapered doses of methadone, alpha2-adrenergic agonists, symptomatic medications or placebo, or different buprenorphine regimens for managing opioid withdrawal, in terms of the intensity of the withdrawal syndrome experienced, duration and completion of treatment, and adverse effects.

SEARCH METHODS

We searched the Cochrane Central Register of Controlled Trials (CENTRAL, Issue 11, 2016), MEDLINE (1946 to December week 1, 2016), Embase (to 22 December 2016), PsycINFO (1806 to December week 3, 2016), and the Web of Science (to 22 December 2016) and handsearched the reference lists of articles.

SELECTION CRITERIA

Randomised controlled trials of interventions using buprenorphine to modify the signs and symptoms of withdrawal in participants who were primarily opioid dependent. Comparison interventions involved reducing doses of methadone, alpha2-adrenergic agonists (clonidine or lofexidine), symptomatic medications or placebo, and different buprenorphine-based regimens.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane.

MAIN RESULTS

We included 27 studies involving 3048 participants. The main comparators were clonidine or lofexidine (14 studies). Six studies compared buprenorphine versus methadone, and seven compared different rates of buprenorphine dose reduction. We assessed 12 studies as being at high risk of bias in at least one of seven domains of methodological quality. Six of these studies compared buprenorphine with clonidine or lofexidine and two with methadone; the other four studies compared different rates of buprenorphine dose reduction.For the comparison of buprenorphine and methadone in tapered doses, meta-analysis was not possible for the outcomes of intensity of withdrawal or adverse effects. However, information reported by the individual studies was suggestive of buprenorphine and methadone having similar capacity to ameliorate opioid withdrawal, without clinically significant adverse effects. The meta-analyses that were possible support a conclusion of no difference between buprenorphine and methadone in terms of average treatment duration (mean difference (MD) 1.30 days, 95% confidence interval (CI) -8.11 to 10.72; N = 82; studies = 2; low quality) or treatment completion rates (risk ratio (RR) 1.04, 95% CI 0.91 to 1.20; N = 457; studies = 5; moderate quality).Relative to clonidine or lofexidine, buprenorphine was associated with a lower average withdrawal score (indicating less severe withdrawal) during the treatment episode, with an effect size that is considered to be small to moderate (standardised mean difference (SMD) -0.43, 95% CI -0.58 to -0.28; N = 902; studies = 7; moderate quality). Patients receiving buprenorphine stayed in treatment for longer, with an effect size that is considered to be large (SMD 0.92, 95% CI 0.57 to 1.27; N = 558; studies = 5; moderate quality) and were more likely to complete withdrawal treatment (RR 1.59, 95% CI 1.23 to 2.06; N = 1264; studies = 12; moderate quality). At the same time there was no significant difference in the incidence of adverse effects, but dropout due to adverse effects may be more likely with clonidine (RR 0.20, 95% CI 0.04 to 1.15; N = 134; studies = 3; low quality). The difference in treatment completion rates translates to a number needed to treat for an additional beneficial outcome of 4 (95% CI 3 to 6), indicating that for every four people treated with buprenorphine, we can expect that one additional person will complete treatment than with clonidine or lofexidine.For studies comparing different rates of reduction of the buprenorphine dose, meta-analysis was possible only for treatment completion, with separate analyses for inpatient and outpatient settings. The results were diverse, and we assessed the quality of evidence as being very low. It remains very uncertain what effect the rate of dose taper has on treatment outcome.

AUTHORS' CONCLUSIONS

Buprenorphine is more effective than clonidine or lofexidine for managing opioid withdrawal in terms of severity of withdrawal, duration of withdrawal treatment, and the likelihood of treatment completion.Buprenorphine and methadone appear to be equally effective, but data are limited. It remains possible that the pattern of withdrawal experienced may differ and that withdrawal symptoms may resolve more quickly with buprenorphine.It is not possible to draw any conclusions from the available evidence on the relative effectiveness of different rates of tapering the buprenorphine dose. The divergent findings of studies included in this review suggest that there may be multiple factors affecting the response to the rate of dose taper. One such factor could be whether or not the initial treatment plan includes a transition to subsequent relapse prevention treatment with naltrexone. Indeed, the use of buprenorphine to support transition to naltrexone treatment is an aspect worthy of further research.Most participants in the studies included in this review were male. None of the studies reported outcomes on the basis of sex, preventing any exploration of differences related to this variable. Consideration of sex as a factor influencing response to withdrawal treatment would be relevant research for selecting the most appropriate type of intervention for each individual.

GM, Jamison RN, Weiss RD. Longitudinal association between pain severity and subsequent opioid use in prescription opioid dependent patients with chronic pain

BACKGROUND

Patients with prescription opioid use disorder commonly report relief of chronic pain as the chief reason for first opioid use; indeed, the prevalence of chronic pain is high in this population. Understanding the association between pain severity and subsequent opioid use is crucial for understanding how to manage these conditions simultaneously and has not been examined in this population. The aim of this analysis was to examine the proximal effect of pain severity on opioid use during 12 weeks of buprenorphine-naloxone therapy for patients with chronic pain and prescription opioid use disorder.

METHODS

This study is a secondary analysis of a national, randomized, controlled trial of buprenorphine-naloxone plus counseling for prescription opioid dependent patients. The association between past-week pain severity and opioid use in the subsequent week was examined in 148 patients presenting with chronic pain at baseline.

RESULTS

Results from a multivariable logistic regression model showed that greater pain severity in a given week was significantly associated with increased odds of opioid use in the following week over the 12-week treatment, even after adjusting for covariates associated with opioid use (aOR=1.15, p<0.001).

CONCLUSIONS

Despite previous reports of no association between baseline pain and subsequent opioid use, our findings suggest that patients who experience flare-ups of pain during treatment are prone to relapse to opioid use. Future studies may identify those who are at risk to use opioids by carefully monitoring patterns of their pain intensity over time.

Characteristics of veterans receiving buprenorphine vs. methadone for opioid use disorder nationally in the Veterans Health Administration

BACKGROUND

The advent of buprenorphine as an alternative to methadone has dramatically shifted the landscape of opioid agonist therapy (OAT) for opioid use disorder (OUD). However, there is limited US national level data describing thedifferences between patients who are prescribed these two OAT options.

METHODS

From veterans with OUD diagnosis who used Veterans Health Administration services in 2012, we identified 3 mutually exclusive groups: those who received (1) buprenorphine only (n=5,670); (2) methadone only (n=6,252); or (3) both buprenorphine and methadone in the same year (n=2513). We calculated the bi-varate effect size differences (risk ratios and Cohen's d) forcharacteristics that differentiated these groups. Logistic regression analysis was then used to identify factors independently differentiating the groups.

RESULTS

Ten year increment in age (OR 0.67; 95% CI 0.64-0.70), urban residence (OR 0.26; 95% CI 0.25-0.33), and black race (OR 0.39; 95% CI 0.35-0.43) were strongly and negatively associated with odds of receiving buprenorphine compared to methadone, while medical and psychiatric comorbidities or receipt of other psychiatric medications did not demonstrate substantial differences between groups.

CONCLUSIONS

Differences between veterans receiving buprenorphine or methadone based OAT seems to be largely shaped by demographic characteristics rather than medical or psychiatric or service use characteristics. A clearer understanding of the reasons for racial differences could be helpful in assuring that black OUD patients are not denied the opportunity to receive buprenorphine if that is their preference.

Pain volatility and prescription opioid addiction treatment outcomes in patients with chronic pain

The combination of prescription opioid dependence and chronic pain is increasingly prevalent and hazardous to public health. Variability in pain may explain poor prescription opioid addiction treatment outcomes in persons with chronic pain. This study examined pain trajectories and pain volatility in patients with chronic pain receiving treatment for prescription opioid addiction. We conducted secondary analyses of adults with chronic pain (n = 149) who received buprenorphine/naloxone (BUP/NLX) and counseling for 12 weeks in an outpatient, multisite clinical trial. Good treatment outcome was defined as urine-verified abstinence from opioids at treatment endpoint (Week 12) and during at least 2 of the previous 3 weeks. Pain severity significantly declined over time during treatment (b = -0.36, p < .001). Patients with greater pain volatility were less likely to have a good treatment outcome (odds ratio = 0.55, p < .05), controlling for baseline pain severity and rate of change in pain over time. A 1 standard deviation increase in pain volatility was associated with a 44% reduction in the probability of endpoint abstinence. The significant reduction in subjective pain during treatment provides observational support for the analgesic effects of BUP/NLX in patients with chronic pain and opioid dependence. Patients with greater volatility in subjective pain during treatment have increased risk of returning to opioid use by the conclusion of an intensive treatment with BUP/NLX and counseling. Future research should examine underlying mechanisms of pain volatility and identify related therapeutic targets to optimize interventions for prescription opioid addiction and co-occurring chronic pain.

Descriptive epidemiology and high risk behavior of male prescription opioid abusers: Cross-sectional study from Sikkim, North East India

BACKGROUND

Sikkim is emerging as an important area for prescription opioid abuse with frequent news of seizures and arrests due to possession of prescription opioids. However, till date there is a little information on descriptive epidemiology and high risk behavior of prescription opioid abusers from Sikkim.

AIMS

The aim was to describe demographic (age, sex, religion, marital status, community, occupation, etc.); socioeconomic (income, education, family information etc.); and high risk behavior (e.g., injection sharing, visit to commercial sex workers [CSWs], homosexuality etc.) among treatment-seeking prescription opioid abusers in Sikkim.

MATERIALS AND METHODS

Epidemiological data were collected by administering predevised questionnaires from n = 223 prescription opioid abusers (main problem prescription opioids) reporting for treatment at five different drug abuse treatment centers across Sikkim.

RESULTS

The mean age of prescription opioid abusers in Sikkim was 27 years; all were male, of Nepalese ethnicity and single/never married, school dropout and/or illiterate, earning < Rs. 10,000/month with most spending almost Rs. 5000 a month on prescription opioids. Most (57.4%) prescription opioid abusers belonged to the urban community. Commonly abused prescription opioids were dextropropoxyphene and codeine. Injection sharing was more in urban areas whereas syringe exchange was observed equally among rural and urban prescription opioid abusers. Among urban injectors visits to CSWs, and multiple sex partners were also common in spite of knowledge about AIDS. Limited condom use was observed among rural respondents. Incidences of arrests, public intoxication, and violence under the influence of prescription opioids were also reported.

CONCLUSION

Both the rural and urban areas of Sikkim show increasing rates of prescription opioid abuse among males. It is more prevalent among school dropouts and unemployed youth. Trends of injection drug use, unsafe injection, high risk behavior have also been observed.

Long-term outcomes from the National Drug Abuse Treatment Clinical Trials Network Prescription Opioid Addiction Treatment Study

BACKGROUND

Despite the growing prevalence of prescription opioid dependence, longitudinal studies have not examined long-term treatment response. The current study examined outcomes over 42 months in the Prescription Opioid Addiction Treatment Study (POATS).

METHODS

POATS was a multi-site clinical trial lasting up to 9 months, examining different durations of buprenorphine-naloxone plus standard medical management for prescription opioid dependence, with participants randomized to receive or not receive additional opioid drug counseling. A subset of participants (N=375 of 653) enrolled in a follow-up study. Telephone interviews were administered approximately 18, 30, and 42 months after main-trial enrollment. Comparison of baseline characteristics by follow-up participation suggested few differences.

RESULTS

At Month 42, much improvement was seen: 31.7% were abstinent from opioids and not on agonist therapy; 29.4% were receiving opioid agonist therapy, but met no symptom criteria for current opioid dependence; 7.5% were using illicit opioids while on agonist therapy; and the remaining 31.4% were using opioids without agonist therapy. Participants reporting a lifetime history of heroin use at baseline were more likely to meet DSM-IV criteria for opioid dependence at Month 42 (OR=4.56, 95% CI=1.29-16.04, p<.05). Engagement in agonist therapy was associated with a greater likelihood of illicit-opioid abstinence. Eight percent (n=27/338) used heroin for the first time during follow-up; 10.1% reported first-time injection heroin use.

CONCLUSIONS

Long-term outcomes for those dependent on prescription opioids demonstrated clear improvement from baseline. However, a subset exhibited a worsening course, by initiating heroin use and/or injection opioid use.

Prescription Drug Misuse and Sexual Risk Behaviors Among Young Men Who have Sex with Men (YMSM) in Philadelphia

This study examined the relationship between prescription drug misuse and sexual risk behaviors (i.e. unprotected sex, increased number of sex partners) in a sample of young men who have sex with men (YMSM) in Philadelphia. Data come from a cross-sectional study of 18-29 year old YMSM (N = 191) who misused prescription drugs in the past 6 months. Associations were investigated in two regression models: logistic models for unprotected anal intercourse (UAI) and zero-truncated Poisson regression model for number of sex partners. Of 177 participants engaging in anal intercourse in the past 6 months, 57.6 % engaged in UAI. After adjusting for socio-demographic variables and illicit drug use, misuse of prescription pain pills and muscle relaxants remained significantly associated with engaging in receptive UAI. No prescription drug class was associated with a high number of sex partners. This study provides additional evidence that some prescription drugs are associated with sexual risk behaviors among YMSM.

Discontinuation of buprenorphine maintenance therapy: perspectives and outcomes

Buprenorphine maintenance therapy (BMT) is increasingly the preferred opioid maintenance agent due to its reduced toxicity and availability in an office-based setting in the United States. Although BMT has been shown to be highly efficacious, it is often discontinued soon after initiation. No current systematic review has yet investigated providers' or patients' reasons for BMT discontinuation or the outcomes that follow. Hence, provider and patient perspectives associated with BMT discontinuation after a period of stable buprenorphine maintenance and the resultant outcomes were systematically reviewed with specific emphasis on pre-buprenorphine-taper parameters predictive of relapse following BMT discontinuation. Few identified studies address provider or patient perspectives associated with buprenorphine discontinuation. Within the studies reviewed providers with residency training in BMT were more likely to favor long term BMT instead of detoxification, and providers were likely to consider BMT discontinuation in the face of medication misuse. Patients often desired to remain on BMT because of fear of relapse to illicit opioid use if they were to discontinue BMT. The majority of patients who discontinued BMT did so involuntarily, often due to failure to follow strict program requirements, and 1 month following discontinuation, rates of relapse to illicit opioid use exceeded 50% in every study reviewed. Only lower buprenorphine maintenance dose, which may be a marker for attenuated addiction severity, predicted better outcomes across studies. Relaxed BMT program requirements and frequent counsel on the high probability of relapse if BMT is discontinued may improve retention in treatment and prevent the relapse to illicit opioid use that is likely to follow BMT discontinuation.

Using behavioral economics to predict opioid use during prescription opioid dependence treatment

BACKGROUND

Research grounded in behavioral economics has previously linked addictive behavior to disrupted decision-making and reward-processing, but these principles have not been examined in prescription opioid addiction, which is currently a major public health problem. This study examined whether pre-treatment drug reinforcement value predicted opioid use during outpatient treatment of prescription opioid addiction.

METHODS

Secondary analyses examined participants with prescription opioid dependence who received 12 weeks of buprenorphine-naloxone and counseling in a multi-site clinical trial (N=353). Baseline measures assessed opioid source and indices of drug reinforcement value, including the total amount and proportion of income spent on drugs. Weekly urine drug screens measured opioid use.

RESULTS

Obtaining opioids from doctors was associated with lower pre-treatment drug spending, while obtaining opioids from dealers/patients was associated with greater spending. Controlling for demographics, opioid use history, and opioid source frequency, patients who spent a greater total amount (OR=1.30, p<.001) and a greater proportion of their income on drugs (OR=1.31, p<.001) were more likely to use opioids during treatment.

CONCLUSIONS

Individual differences in drug reinforcement value, as indicated by pre-treatment allocation of economic resources to drugs, reflects propensity for continued opioid use during treatment among individuals with prescription opioid addiction. Future studies should examine disrupted decision-making and reward-processing in prescription opioid users more directly and test whether reinforcer pathology can be remediated in this population.

Initial response as a predictor of 12-week buprenorphine-naloxone treatment response in a prescription opioid-dependent population

OBJECTIVE

Initial medication response has been shown to predict treatment outcome across a variety of substance use disorders, but no studies have examined the predictive power of initial response to buprenorphine-naloxone in the treatment of prescription opioid dependence. We therefore conducted a secondary analysis of data from the Prescription Opioid Addiction Treatment Study to determine whether initial response to buprenorphine-naloxone predicted 12-week treatment outcome in a prescription opioid-dependent population.

METHOD

Using data from a multisite, randomized controlled trial of buprenorphine-naloxone plus counseling for DSM-IV prescription opioid dependence (June 2006-July 2009), we conducted a secondary analysis to investigate the relationship between initial medication response and 12-week treatment outcome to establish how soon the efficacy of buprenorphine-naloxone could be predicted (N = 360). Outcomes were determined from the Substance Use Report, a self-report measure of substance use, and confirmatory urinalysis. Predictive values were calculated to determine the importance of abstinence versus use at various time points within the first month of treatment (week 1, weeks 1-2, 1-3, or 1-4) in predicting successful versus unsuccessful treatment outcome (based on abstinence or near-abstinence from opioids) in the last 4 weeks of buprenorphine-naloxone treatment (weeks 9-12).

RESULTS

Outcome was best predicted by medication response after 2 weeks of treatment. Two weeks of initial abstinence was moderately predictive of treatment success (positive predictive value = 71%), while opioid use in both of the first 2 weeks was strongly predictive of unsuccessful treatment outcome (negative predictive value [NPV] = 84%), especially when successful outcome was defined as total abstinence from opioids in weeks 9-12 (NPV = 94%).

CONCLUSIONS

Evaluating prescription opioid-dependent patients after 2 weeks of buprenorphine-naloxone treatment may help determine the likelihood of successful outcome at completion of the current treatment regimen.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00316277.

Opioid withdrawal, craving, and use during and after outpatient buprenorphine stabilization and taper: a discrete survival and growth mixture model

INTRODUCTION

Most patients relapse to opioids within one month of opioid agonist detoxification, making the antecedents and parallel processes of first use critical for investigation. Craving and withdrawal are often studied in relationship to opioid outcomes, and a novel analytic strategy applied to these two phenomena may indicate targeted intervention strategies.

METHODS

Specifically, this secondary data analysis of the Prescription Opioid Addiction Treatment Study used a discrete-time mixture analysis with time-to-first opioid use (survival) simultaneously predicted by craving and withdrawal growth trajectories. This analysis characterized heterogeneity among prescription opioid-dependent individuals (N=653) into latent classes (i.e., latent class analysis [LCA]) during and after buprenorphine/naloxone stabilization and taper.

RESULTS

A 4-latent class solution was selected for overall model fit and clinical parsimony. In order of shortest to longest time-to-first use, the 4 classes were characterized as 1) high craving and withdrawal, 2) intermediate craving and withdrawal, 3) high initial craving with low craving and withdrawal trajectories and 4) a low initial craving with low craving and withdrawal trajectories. Odds ratio calculations showed statistically significant differences in time-to-first use across classes.

CONCLUSIONS

Generally, participants with lower baseline levels and greater decreases in craving and withdrawal during stabilization combined with slower craving and withdrawal rebound during buprenorphine taper remained opioid-free longer. This exploratory work expanded on the importance of monitoring craving and withdrawal during buprenorphine induction, stabilization, and taper. Future research may allow individually tailored and timely interventions to be developed to extend time-to-first opioid use.

Assessing craving and its relationship to subsequent prescription opioid use among treatment-seeking prescription opioid dependent patients

BACKGROUND

Craving is viewed as a core feature of substance use disorders and has been shown to predict future drug use, particularly over the short term. Accordingly, craving is often assessed in treatment settings as a marker of risk for subsequent drug use. The identification of the briefest measure that maintains predictive validity is of particular value for both clinical and research settings to minimize assessment burden while maintaining utility for the prediction of use.

METHODS

Data from a multi-site clinical trial of treatment for prescription opioid dependence were examined to evaluate whether a brief, 3-item craving scale administered each week predicted urine-confirmed self report of prescription opioid use in the subsequent week. Logistic regression models examining the association between craving and presence or absence of opioid use in the following week were conducted, controlling for opioid use in the previous week, treatment condition, and lifetime history of heroin use.

RESULTS

Greater craving was associated with a higher odds of prescription opioid use in the following week. For each one-unit increase on this 10-point scale, the odds of using opioids in the subsequent week was 17% higher. In addition to an item assessing urges, items assessing cue-induced craving and perceived likelihood of relapse in an environment where drugs were previously used contributed uniquely to this association.

CONCLUSIONS

A brief measure of prescription opioid craving predicted prescription opioid use among individuals in treatment. This measure offers an efficient strategy to inform the assessment of risk for use in this population.

Correlates and Consequences of Opioid Misuse among High-Risk Young Adults

Background. Prescription opioids are the most frequently misused class of prescription drug among young adults aged 18–25, yet trajectories of opioid misuse and escalation are understudied. We sought to model opioid misuse patterns and relationships between opioid misuse, sociodemographic factors, and other substance uses. Methods. Participants were 575 young adults age 16–25 who had misused opioids in the last 90 days. Latent class analysis was performed with models based on years of misuse, recency of misuse, and alternate modes of administration within the past 12 months, 3 months, and 30 days. Results. Four latent classes emerged that were differentially associated with heroin, cocaine, and methamphetamine use, tranquilizer misuse, daily opioid misuse, and opioid withdrawal. Alternate modes of administering opioids were associated with increased risk for these outcomes. Sociodemographic factors, homelessness, prescription history, and history of parental drug use were significantly associated with riskier opioid misuse trajectories. Conclusion. Young adults who reported more debilitating experiences as children and adolescents misused opioids longer and engaged in higher risk alternate modes of administering opioids. Data on decisions both to use and to alter a drug's form can be combined to describe patterns of misuse over time and predict important risk behaviors.

The multi-site prescription opioid addiction treatment study: 18-month outcomes

Despite the high prevalence of prescription opioid dependence in the U.S., little is known about the course of this disorder and long-term response to treatment. We therefore examined 18-month post-randomization outcomes of participants in the Prescription Opioid Addiction Treatment Study, a multi-site, randomized controlled trial examining varying durations of buprenorphine-naloxone treatment and different intensities of counseling for prescription opioid dependence. Thus the current follow-up study provides a unique contribution to the field by reporting longer-term outcomes of a well-characterized population of treatment-seeking prescription opioid dependent patients. Participants from the treatment trial (N=252/653) completed an 18-month follow-up telephone assessment. Multivariable analyses examined associations between participant characteristics and key indicators of month-18 status: opioid abstinence, DSM-IV opioid dependence, and opioid agonist treatment. Overall, participants showed improvement from baseline to month 18: 49.6% were abstinent in the previous 30 days, with only 16.3% opioid-dependent. Some participants, however, had initiated past-year heroin use (n=9) or opioid injection (n=17). Most participants (65.9%) engaged in substance use disorder treatment during the past year, most commonly opioid agonist therapy (48.8%). Of particular interest in this population, multivariable analysis showed that greater pain severity at baseline was associated with opioid dependence at 18 months. In conclusion, although opioid use outcomes during the treatment trial were poor immediately following a buprenorphine-naloxone taper compared to those during 12 weeks of buprenorphine-naloxone stabilization, opioid use outcomes at 18-month follow-up showed substantial improvement over baseline and were comparable to the rate of successful outcomes during buprenorphine-naloxone stabilization in the treatment trial.

Denial of urinalysis-confirmed opioid use in prescription opioid dependence

Although research has generally supported the validity of substance use self-reports, some patients deny urine-verified substance use. We examined the prevalence and patterns of denying urinalysis-confirmed opioid use in a sample of prescription opioid dependent patients. We also identified characteristics associated with denial in this population of increasing public health concern. Opioid use self-reports were compared with weekly urinalysis results in a 12-week multi-site treatment study for prescription opioid dependence. Among those who used opioids during the trial (n=246/360), 44.3% (n=109) denied urinalysis-confirmed opioid use, although usually only once (78%). Overall, 22.9% of opioid-positive urine tests (149/650) were denied on self-report. Multivariable analysis found that initially using opioids to relieve pain was associated with denying opioid use. These findings support the use of both self-reports and urine testing in treating prescription opioid dependence.

The relationship between primary prescription opioid and buprenorphine-naloxone induction outcomes in a prescription opioid dependent sample

BACKGROUND AND OBJECTIVES

This analysis aims to: (1) compare induction experiences among participants who self-reported using one of the four most commonly reported POs, and (2) examine factors associated with difficult bup-nx induction. Our hypothesis, based on previous research and current guidelines, is that those on longer-acting opioids will have experienced more difficult inductions.

METHODS

The Prescription Opioid Addiction Treatment Study (POATS) was a multi-site, randomized clinical trial, using a two-phase adaptive treatment research design. This analysis examines bup-nx induction of participants who self-reported primary PO use of methadone, ER-oxycodone, IR-oxycodone, and hydrocodone (n = 69). Analyses examined characteristics associated with difficult induction, defined as increased withdrawal symptoms measured by the Clinical Opiate Withdrawal Scale (COWS) after the first bup-nx dose with higher scores denoting greater withdrawal symptoms/severity.

RESULTS

Contrary to our hypothesis, difficult induction experiences did not differ by primary PO type. Those who experienced a post-induction increase in COWS score had lower pre-dose COWS scores compared to those who did not experience a post-induction increase in COWS score (10.09 vs. 12.77, t(624) = -13.56, p < .001). Demographics characteristics, depression, and pain history did not predict a difficult induction.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

Difficult bup-nx inductions were not associated with participants' primary PO. Severity of withdrawal, measured with the COWS, was an important variable, reminding clinicians that bup-nx should not be commenced prior to evidence of moderate opioid withdrawal. These findings add to the evidence that with careful procedures, bup-nx can used with few difficulties in PO-dependent patients. (Am J Addict 2014;23:343-348).

Who benefits from additional drug counseling among prescription opioid-dependent patients receiving buprenorphine-naloxone and standard medical management?

BACKGROUND

In the multi-site Prescription Opioid Addiction Treatment Study (POATS), conducted within the National Drug Abuse Clinical Trials Network, participants randomly assigned to receive individual drug counseling in addition to buprenorphine-naloxone and medical management did not have superior opioid use outcomes. However, research with other substance-dependent populations shows that subgroups of participants may benefit from a treatment although the entire population does not.

METHOD

We conducted a secondary analysis of POATS data to determine whether a subgroup of participants benefited from drug counseling in addition to buprenorphine-naloxone and medical management, either due to greater problem severity or more exposure to counseling as a result of greater treatment adherence. Problem severity was measured by a history of heroin use, higher Addiction Severity Index drug composite score, and chronic pain. Adequate treatment adherence was defined a priori as attending at least 60% of all offered sessions.

RESULTS

Patients who had ever used heroin and received drug counseling were more likely to be successful (i.e., abstinent or nearly abstinent from opioids) than heroin users who received medical management alone, but only if they were adherent to treatment and thus received adequate exposure to counseling (OR=3.7, 95% CI=1.1-11.8, p=0.03). The association between severity and outcome did not vary by treatment condition for chronic pain or ASI drug severity score.

CONCLUSIONS

These findings emphasize the importance of treatment adherence, and suggest that patients with prescription opioid dependence are a heterogeneous group, with different optimal treatment strategies for different subgroups.

Co-occurring prescription opioid use problems and posttraumatic stress disorder symptom severity

BACKGROUND

Prescription opioids are the most rapidly growing category of abused substances, and result in significant morbidity, mortality and healthcare costs. Co-occurring with psychiatric disorders, persons with prescription opioid problems have negative treatment outcomes. Data are needed on the prevalence of co-occurring prescription opioid abuse and specific disorders, such as posttraumatic stress disorder (PTSD), to better inform clinical practice.

OBJECTIVE

To determine prevalence rates of current co-occurring prescription opioid use problems and PTSD symptom severity among patients in community addiction treatment settings.

METHODS

We abstracted administrative and chart information on 573 new admissions to three addictive treatment agencies during 2011. Systematic data were collected on PTSD symptoms, substance use, and patient demographics.

RESULTS

Prescription opioid use was significantly associated with co-occurring PTSD symptom severity (OR: 1.42, p < 0.05). Use of prescription opioids in combination with sedatives (OR: 3.81, p < 0.01) or cocaine (OR: 2.24, p < 0.001) also were associated with PTSD severity. The odds of having co-occurring PTSD symptoms and prescription opioid use problem were nearly three times greater among females versus males (OR: 2.63, p < 0.001). Younger patients (18-34 years old) also were at higher risk (OR: 1.86, p < 0.01).

CONCLUSIONS

Prescription opioid use problems are a risk factor for co-occurring PTSD symptom severity. Being female or younger increase the likelihood of this co-morbidity. Further research is needed to confirm these finding, particularly using more rigorous diagnostic procedures. These data suggest that patients with prescription opioid use problems should be carefully evaluated for PTSD symptoms.

Reasons for opioid use among patients with dependence on prescription opioids: the role of chronic pain

The number of individuals seeking treatment for prescription opioid dependence has increased dramatically, fostering a need for research on this population. The aim of this study was to examine reasons for prescription opioid use among 653 participants with and without chronic pain, enrolled in the Prescription Opioid Addiction Treatment Study, a randomized controlled trial of treatment for prescription opioid dependence. Participants identified initial and current reasons for opioid use. Participants with chronic pain were more likely to report pain as their primary initial reason for use; avoiding withdrawal was rated as the most important reason for current use in both groups. Participants with chronic pain rated using opioids to cope with physical pain as more important, and using opioids in response to social interactions and craving as less important, than those without chronic pain. Results highlight the importance of physical pain as a reason for opioid use among patients with chronic pain.

Mindfulness-oriented recovery enhancement for chronic pain and prescription opioid misuse: results from an early-stage randomized controlled trial

OBJECTIVE

Opioid pharmacotherapy is now the leading treatment for chronic pain, a problem that affects nearly one third of the U.S. population. Given the dramatic rise in prescription opioid misuse and opioid-related mortality, novel behavioral interventions are needed. The purpose of this study was to conduct an early-stage randomized controlled trial of Mindfulness-Oriented Recovery Enhancement (MORE), a multimodal intervention designed to simultaneously target mechanisms underpinning chronic pain and opioid misuse.

METHOD

Chronic pain patients (N = 115; mean age = 48 ± 14 years; 68% female) were randomized to 8 weeks of MORE or a support group (SG). Outcomes were measured at pre- and posttreatment, and at 3-month follow-up. The Brief Pain Inventory was used to assess changes in pain severity and interference. Changes in opioid use disorder status were measured by the Current Opioid Misuse Measure. Desire for opioids, stress, nonreactivity, reinterpretation of pain sensations, and reappraisal were also evaluated.

RESULTS

MORE participants reported significantly greater reductions in pain severity (p = .038) and interference (p = .003) than SG participants, which were maintained by 3-month follow-up and mediated by increased nonreactivity and reinterpretation of pain sensations. Compared with SG participants, participants in MORE evidenced significantly less stress arousal (p = .034) and desire for opioids (p = .027), and were significantly more likely to no longer meet criteria for opioid use disorder immediately following treatment (p = .05); however, these effects were not sustained at follow-up.

CONCLUSIONS

Findings demonstrate preliminary feasibility and efficacy of MORE as a treatment for co-occurring prescription opioid misuse and chronic pain. (PsycINFO Database Record (c) 2014 APA, all rights reserved).