The impact of comorbid psychiatric disorders on methadone maintenance treatment in opioid use disorder: a prospective cohort study

Associations Between Buprenorphine\Naloxone and Methadone Treatment and non-Opioid Substance Use in Prescription-Type Opioid Use Disorder: Secondary Analyses From the OPTIMA Study: Associations entre le traitement avec la buprénorphine/naloxone et avec la méthadone et l'utilisation de substances non opioïdes dans le trouble lié à l'usage d'opioïdes de type sur ordonnance : analyses secondaires de l'étude OPTIMA

OBJECTIVES

There is limited evidence on how opioid agonist treatment (OAT) may affect psychoactive non-opioid substance use in prescription-type opioid use disorder (POUD) and whether this effect might explain OAT outcomes. We aimed to assess the effect of methadone on non-opioid substance use compared to buprenorphine/naloxone (BUP/NX), to explore whether non-opioid substance use is associated with opioid use and retention in treatment, and to test non-opioid use as a moderator of associations between methadone with retention in OAT and opioid use compared to BUP/NX.

METHODS

This is a secondary analysis of data from the OPTIMA trial, an open-label, pragmatic, parallel, two-arm, pan-Canadian, multicentre, randomized-controlled trial to compare standard methadone model of care and flexible take-home dosing BUP/NX for POUD treatment. We studied the effect of methadone and BUP/NX on non-opioid substance use evaluated by urine drug screen (UDS) and by classes of non-opioid substances (i.e., tetrahydrocannabinol [THC], benzodiazepines, stimulants) (weeks 2-24) using adjusted generalized estimation equation (GEE). We studied the association between non-opioid substance-positive UDS and opioid-positive UDS and retention in treatment, using adjusted GEE and logistic regressions.

RESULTS

Overall, methadone was not associated with non-opioid substance-positive UDS compared to BUP/NX (OR: 0.78; 95%CI, 0.41 to 1.48). When non-opioid substances were studied separately, methadone was associated with lower odds of benzodiazepine-positive UDS (OR: 0.63; 95% CI: 0.40 to 0.98) and THC-positive UDS (OR: 0.47; 95% CI: 0.28 to 0.77), but not with different odds of stimulant-positive UDS (OR: 1.29; 95% CI: 0.78 to 2.16) compared to BUP/NX. Substance-positive UDS, overall and separate classes, were not associated with opioid-positive UDS or retention in treatment.

CONCLUSION

Methadone did not show a significant effect on overall non-opioid substance use in POUD compared to BUP/NX treatment but was associated with lower odds of benzodiazepine and THC use in particular. Non-opioid substance use did not predict OAT outcomes. Further research is needed to ascertain whether specific patterns of polysubstance use (quantity and frequency) may affect treatment outcomes.

Patient reported goals for medications for opioid use disorder: A theory of proximal goal attainment

Background

There exist substantial patient barriers to accessing medications for opioid use disorder (MOUD), including travel distance, stigma, and availability of MOUD providers. Yet, despite these barriers, there exists a subset of patients who possess the requisite motivation to seek and remain adherent to treatment.

Objective

To explore patient-derived goals in MOUD treatment-adherent patients.

Methods

This study used in-depth interviews with patients receiving methadone who were enrolled in opioid treatment programs (OTPs) across Tennessee. Participants were recruited from 12 different OTPs to participate in telephonic semi-structured interviews to a point of saturation. Participants had to be adherent to treatment, in treatment for 6 months or greater, and English speaking. Analysis occurred inductively using a constructivist approach to Grounded Theory.

Results

In total, 17 patient interviews were conducted in the spring of 2021. Participants described goal setting across three general stages of treatment: (1) addressing acute physical and emotional needs upon treatment entry, (2) development of supportive structure and routine to develop healthy skills facilitated by treatment team, and (3) identifying and pursuing future-focused goals not directly linked to treatment. A Proximal Goals in MOUD Framework is introduced.

Conclusion

In this qualitative study on patient reported goals in MOUD it was found that goals are transitory and relative to the stage of treatment. Further research is needed to better understand goal evolution over the course of treatment and its impact on treatment retention.

Postmortem toxicology findings from the Camden Opioid Research Initiative

The United States continues to be impacted by decades of an opioid misuse epidemic, worsened by the COVID-19 pandemic and by the growing prevalence of highly potent synthetic opioids (HPSO) such as fentanyl. In instances of a toxicity event, first-response administration of reversal medications such as naloxone can be insufficient to fully counteract the effects of HPSO, particularly when there is co-occurring substance use. In an effort to characterize and study this multi-faceted problem, the Camden Opioid Research Initiative (CORI) has been formed. The CORI study has collected and analyzed post-mortem toxicology data from 42 cases of decedents who expired from opioid-related toxicity in the South New Jersey region to characterize substance use profiles. Co-occurring substance use, whether by intent or through possible contamination of the illicit opioid supply, is pervasive among deaths due to opioid toxicity, and evidence of medication-assisted treatment is scarce. Nearly all (98%) of the toxicology cases show the presence of the HPSO, fentanyl, and very few (7%) results detected evidence of medication-assisted treatment for opioid use disorder, such as buprenorphine or methadone, at the time of death. The opioid toxicity reversal drug, naloxone, was detected in 19% of cases, but 100% of cases expressed one or more stimulants, and sedatives including xylazine were detected in 48% of cases. These results showing complex substance use profiles indicate that efforts at mitigating the opioid misuse epidemic must address the complications presented by co-occurring stimulant and other substance use, and reduce barriers to and stigmas of seeking effective medication-assisted treatments.

Investigating social deprivation and comorbid mental health diagnosis as predictors of treatment access among patients with an opioid use disorder using substance use services: a prospective cohort study

BACKGROUND

Opioid use is a major public health concern across the globe. Opioid use and subsequent access to care is often shaped by co-occurring issues faced by people using opioids, such as deprivation, mental ill-health, and other forms of substance use. We investigated the role of social deprivation and comorbid mental health diagnoses in predicting re-engagement with substance use services or contact with crisis and inpatient services for individuals with opioid use disorder in secondary mental health care in inner-city London.

METHODS

We conducted a prospective cohort study which followed individuals diagnosed with a first episode of opioid use disorder who accessed substance use services between September 2015 and May 2020 for up to 12 months, using anonymised electronic health records. We employed negative binominal regression and Cox proportional survival analyses to assess associations between exposures and outcomes.

RESULTS

Comorbid mental health diagnoses were associated with higher contact rates with crisis/inpatient services among people with opioid use disorder: incidence rate ratios (IRR) and 95% confidence intervals (CI) were 3.91 (1.74-9.14) for non-opioid substance use comorbidity, 8.92 (1.81-64.4) for a single comorbid mental health diagnosis, and 15.9 (5.89-47.5) for multiple comorbid mental health diagnoses. Social deprivation was not associated with contact rates with crisis/inpatient services within this sample. Similar patterns were found with time to first crisis/inpatient contact. Social deprivation and comorbid mental health diagnoses were not associated with re-engagement with substance use services.

CONCLUSION

Comorbid substance and mental health difficulties amongst people with an opioid use disorder led to earlier and more frequent contact with crisis/inpatient mental health services during the first 12 months of follow up. Given the common co-occurrence of mental health and substance use disorders among those who use opioids, a better understanding of their wider needs (such as social, financial and other non-medical concerns) will ensure they are supported in their treatment journeys.

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.

Erythrocytic Reduced/Oxidized Glutathione and Serum Thiol/Disulfide Homeostasis in Patients with Opioid Use Disorder

Background

This study aimed to evaluate oxidative damage by measuring erythrocytic reduced/oxidized glutathione as an intracellular thiol pool and serum thiol/disulfide homeostasis as an extracellular thiol pool in patients with opioid use disorder.

Methods

In this prospective cross-sectional study, 33 male patients diagnosed with opioid use disorder and 30 healthy male controls were included. Sociodemographic characteristics and psychometric analyzes were performed and addiction characteristics (duration and amount of heroin use, usage methods) were recorded. For the evaluation of oxidative balance, intracellular reduced-oxidized glutathione (reduced glutathione and oxidized glutathione), and extracellular thiol-disulfide (native thiol and disulfide) levels were measured.

Results

There was a decrease in reduced glutathione and native thiol levels and an increase in GSSG and SS levels. Similarly, while oxidized/reduced glutathione, oxidized/total glutathione%, and disulfide/native thiol % ratios increased, the ratio of reduced glutathione/total glutathione% and native thiol/total thiol% decreased. Moreover, a positive correlation was found between the level of both intracellular and extracellular oxidant molecules and the duration and amount of opioid use.

Conclusion

Impaired intracellular reduced glutathione/oxidized glutathione and extracellular disulfide/native thiol homeostasis were found in patients with opioid use disorder. The intracellular and extracellular oxidative stress may cause complications related to chronic opioid use.

Genetics of cannabis use in opioid use disorder: A genome-wide association and polygenic risk score study

BACKGROUND

Individuals with an Opioid Use Disorder (OUD) have increased rates of cannabis use in comparison to the general population. Research on the short- and long-term impacts of cannabis use in OUD patients has been inconclusive. A genetic component may contribute to cannabis cravings.

AIMS

Identify genetic variants associated with cannabis use through Genome-wide Association Study (GWAS) methods and investigate a Polygenic Risk Score (PRS). In addition, we aim to identify any sex differences in effect size for genetic variants reaching or nearing genome-wide significance in the GWAS.

METHODS

The study outcomes of interest were: regular cannabis use (yes/no) (n = 2616), heaviness of cannabis use (n = 1293) and cannabis cravings (n = 836). Logistic and linear regressions were preformed, respectively, to test the association between genetic variants and each outcome, regular cannabis use and heaviness of cannabis use. GWAS summary statistics from a recent large meta-GWAS investigating cannabis use disorder were used to conduct PRS's. Findings are limited to a European ancestry sample.

RESULTS

No genome-wide significant associations were found. Rs1813412 (chromosome 17) for regular cannabis use and rs62378502 (chromosome 5) for heaviness of cannabis use were approaching genome-wide significance. Both these SNPs were nominally significant (p<0.05) within males and females, however sex did not modify the association. The PRS identified statistically significant association with cannabis cravings. The variance explained by all PRSs were less than 1.02x10-2.

CONCLUSION

This study provides promising results in understanding the genetic contribution to cannabis use in individuals living with OUD.

Exploring potential moderators of depressive symptoms and treatment outcomes among patients with opioid use disorder

BACKGROUND

Depressive symptoms are common in patients seeking medication treatment for opioid use disorder (MOUD treatment) and decrease quality of life but have been inconsistently related to opioid treatment outcomes. Here, we explore whether depressive symptoms may only be related to adverse treatment outcomes among individuals reporting high opioid use-related coping motives (i.e., use of opioids to change affective states) and high trait impulsivity, two common treatment targets.

METHODS

Patients seeking MOUD treatment (N = 118) completed several questionnaires within two weeks of their treatment intake. Treatment outcomes (opioid-positive urine screens and days retained in treatment) were extracted from treatment records. Moderation analyses controlling for demographic characteristics and main effects were conducted to explore interaction effects between depressive symptoms and two distinct moderators.

RESULTS

Depressive symptoms were only related to opioid use during early treatment among patients reporting high opioid use-related coping motives (B = 2.67, p =.004) and patients reporting high trait impulsivity (B = 2.01, p =.039). Further, depressive symptoms were only inversely related to days retained among individuals with high opioid use-related coping motives (B = -10.12, p =.003).

CONCLUSIONS

Individuals presenting to treatment with opioid-related coping motives and/or impulsivity in the context of depressive symptoms may confer unique risk for adverse treatment outcomes. Clinicians may wish to consider these additive risk factors when developing their treatment plan.

Differential effect of cannabis use on opioid agonist treatment outcomes: Exploratory analyses from the OPTIMA study

INTRODUCTION

Conflictual evidence exists regarding the effects of cannabis use on the outcomes of opioid agonist therapy (OAT). In this exploratory analysis, we examined the effect of recent cannabis use on opioid use, craving, and withdrawal symptoms, in individuals participating in a trial comparing flexible buprenorphine/naloxone (BUP/NX) take-home dosing model to witnessed ingestion of methadone.

METHODS

We analyzed data from a multi-centric, pragmatic, 24-week, open label, randomized controlled trial in individuals with prescription-type opioid use disorder (n = 272), randomly assigned to BUP/NX (n = 138) or methadone (n = 134). The study measured last week cannabis and opioid use via timeline-follow back, recorded at baseline and every two weeks during the study. Craving symptoms were measured using the Brief Substance Craving Scale at baseline, and weeks 2, 6, 10, 14, 18 and 22. The study measured opioid withdrawal symptoms via Clinical Opiate Withdrawal Scale at treatment initiation and weeks 2, 4, and 6.

RESULTS

The mean maximum dose taken during the study was 17.3 mg/day (range = 0.5-32 mg/day) for BUP/NX group and 67.7 mg/day (range = 10-170 mg/day) in the methadone group. Repeated measures generalized linear mixed models demonstrated that cannabis use in the last week (mean of 2.3 days) was not significantly associated with last week opioid use (aβ ± standard error (SE) = -0.06 ± 0.04; p = 0.15), craving (aβ ± SE = -0.05 ± 0.08, p = 0.49), or withdrawal symptoms (aβ ± SE = 0.09 ± 0.1, p = 0.36). Bayes factor (BF) for each of the tested models supported the null hypothesis (BF < 0.3).

CONCLUSIONS

The current study did not demonstrate a statistically significant effect of cannabis use on outcomes of interest in the context of a pragmatic randomized-controlled trial. These findings replicated previous results reporting no effect of cannabis use on opioid-related outcomes.

Cessation of self-reported opioid use and impacts on co-occurring health conditions

BACKGROUND

Among veterans in care reporting opioid use, we investigated the association between ceasing opioid use on subsequent reduction in report of other substance use and improvements in pain, anxiety, and depression.

METHODS

Using Veterans Aging Cohort Study survey data collected between 2003 and 2012, we emulated a hypothetical randomized trial (target trial) of ceasing self-reported use of prescription opioids and/or heroin, and outcomes including unhealthy alcohol use, smoking, cannabis use, cocaine use, pain, and anxiety and depressive symptoms. Among those with baseline opioid use, we compared participants who stopped reporting opioid use at the first follow-up (approximately 1 year after baseline) with those who did not. We fit logistic regression models to estimate associations with change in each outcome at the second follow-up (approximately 2 years after baseline) among participants with that condition at baseline. We examined two sets of adjusted models that varied temporality assumptions.

RESULTS

Among 2473 participants reporting opioid use, 872 did not report use, 606 reported use, and 995 were missing data on use at the first follow-up. Ceasing opioid use was associated with no longer reporting cannabis (adjusted odds ratio [AOR]=1.82, 95% confidence interval [CI] 1.10, 3.03) and cocaine use (AOR=1.93, 95% CI 1.16, 3.20), and improvements in pain (AOR=1.53, 95% CI 1.05, 2.24) and anxiety (AOR=1.56, 95% CI 1.01, 2.41) symptoms.

CONCLUSION

Cessation of opioid misuse may be associated with subsequent cessation of other substances and reduction in pain and anxiety symptoms, which supports efforts to screen and provide evidence-based intervention where appropriate.

Comparison of Psychopathologic Characteristics between Individuals Undergoing Methadone Maintenance Treatment, Opioid Dependents, and Control Group

BACKGROUND

Methadone maintenance treatment (MMT) can theoretically reduce the psychosocial harms of opioid dependency. The increasing number of MMT clinics in Iran during the last two decades was not accompanied by a reduction in addiction rates. Therefore, this study was conducted to compare the psychopathological characteristics of individuals on MMT, opioid dependents, and a control group in the Iranian population.

METHODS

This cross-sectional study was conducted in Mashhad to evaluate the psychopathological profile of 99 participants (33 opioid-dependent individuals [ODI], 33 MMT clients, and 33 controls) using the Symptom Checklist-90-Revised (SCL-90-R) questionnaire and demographic form. Parametric and non-parametric tests were used to compare the mean score of symptoms between the three groups. The Spearman correlation test was used to test the correlation of psychological features with age and dependency duration.

FINDINGS

There was no significant difference between MMT clients and ODI regarding the Global Severity Index (GSI) and nine items of the SCL-90-R questionnaire. However, a significant difference was found between the controls and two other groups (P<0.001). Paranoid ideation in the ODI was more frequent compared to MMT clients significantly (P=0.015). Psychological characteristics had a direct correlation with dependency duration and an inverse correlation with age (P<0.05).

CONCLUSION

Psychopathologic features observed in the dependent patients and MMT clients were significantly higher than in the control group. It seems that the psychopathology profile in MMT clients was not better than dependent individuals in Iran.

Prevalence of mental disorders among people with opioid use disorder: A systematic review and meta-analysis

BACKGROUND

Opioid use disorder (OUD) and mental disorders are major public health issues and comorbidity is common. Among people with OUD, comorbid mental disorders are associated with poorer health outcomes. To our knowledge, this is the first systematic review and meta-analysis to estimate prevalence of specific mental disorders among people with OUD.

METHODS

We searched Embase, MEDLINE, and PsycInfo from 1990 to 2021 for observational studies of depression, anxiety, post-traumatic stress disorder (PTSD), bipolar, personality, and other pre-specified mental disorders among people with OUD. We pooled current and lifetime estimates of each disorder using random-effects meta-analyses with 95% Confidence Intervals (CIs). Meta-regressions and stratified analyses were used to assess heterogeneity of prevalence estimates by methodological factors and sample characteristics.

FINDINGS

Of the 36,971 publications identified, we included data from 345 studies and 104,135 people with OUD in at least one pooled estimate. Among people with OUD, the prevalence of current depression was 36.1% (95%CI 32.4-39.7%), anxiety was 29.1% (95%CI 24.0-33.3%), attention-deficit/hyperactivity disorder was 20.9% (95%CI 15.7-26.2%), PTSD was 18.1% (95%CI 15.4-20.9%), and bipolar disorder was 8.7% (95%CI 6.7-10.7%). Lifetime prevalence of anti-social personality disorder was 33.6% (95%CI 29.1-38.0%) and borderline personality disorder was 18.2% (95% CI 13.4-23.1%). Sample characteristics and methodological factors, including sex, were associated with variance of multiple prevalence estimates.

INTERPRETATION

Our findings emphasise the need for access to mental disorder treatment among people with OUD. Specific mental disorder estimates may inform clinical guidelines, treatment services, and future research for people with OUD, including subpopulations with distinct treatment needs.

Comorbid Affective and Substance Use Disorders of Medicaid/Medicare Beneficiaries at an Opioid Treatment Program Serving Small Urban and Rural Communities

Objectives

Identify rates and correlates of comorbid affective and substance use disorders among an understudied population, Medicaid/Medicare beneficiaries receiving care at an opioid treatment program serving patients from small urban and rural areas. Examine whether past-year non-medical opioid use status differentiates comorbidity status.

Methods

A cross-sectional, venue-based design was used to recruit a convenience sample of patients treated with methadone for opioid use disorder. Measures were assessed across three domains: (1) demographic characteristics, (2) opioid use characteristics, and (3) comorbid disorders. Brief validated screeners categorized probable comorbid disorders. Bivariate analyses examined correlates of comorbid disorders and determined variable selection for multivariable analyses.

Results

In this sample (N = 210; mean age = 38.5 years; female = 62.2%; Non-Hispanic White race/ethnicity = 86.1%), comorbid disorders were common. Rates were as follows: current anxiety (48.1%), depression (41.1%), and PTSD (33.7%), and past-year stimulant (27.6%), marijuana (19.0%), alcohol (14.9%), and sedative (7.6%). In bivariate analyses, past-year non-medical opioid use and a greater accumulation of opioid use consequences were associated with most disorders. When including demographic and opioid use characteristics in multivariable analyses, past-year non-medical opioid use was associated with anxiety, PTSD, stimulant use disorder, and sedative use disorder.

Conclusions

Few studies have investigated comorbid disorders among this understudied population. This analysis highlights a high burden, especially for affective disorders. Our findings demonstrate that routine, ongoing assessment of non-medical opioid use may be a promising and feasible strategy to detect patients needing integrated care. Future research should investigate whether changes to assessment protocols at opioid treatment programs in small urban and rural settings facilitate care coordination.

The Inclusion of Patients’ Reported Outcomes to Inform Treatment Effectiveness Measures in Opioid Use Disorder. A Systematic Review

Introduction

Objective

Methods

Results

Conclusion

Systematic Review Registration

Substance Use, Hospitalizations, and Co-Occurring Disorders among Patients Transferred from a Needle Exchange Program to Opioid Maintenance Treatment

Opioid use disorders (OUD) is a relapsing condition with high mortality. Opioid maintenance treatment (OMT) reduces heroin use, and overall morbidity and mortality. The prevalence of psychiatric and substance use disorders, potential baseline predictors for psychiatric hospitalization, and psychiatric diagnoses at follow-up were investigated and may give hints about possible preventative strategies. The medical records for 71 patients were reviewed 36 months following referral to OMT from a needle exchange program (NEP). Their psychiatric diagnoses and hospitalizations were identified. Their baseline characteristics were assessed for potential differences between hospitalized versus non-hospitalized patients and between patients with and without psychiatric diagnoses in a longitudinal observational study without controls. A regression analysis was performed to identify predictors for hospitalization when controlling for OMT status. Sixty-five percent of the patients were hospitalized at least once with a psychiatric diagnosis. Substance-related reasons were prevalent, and detoxification occurred among 59% of patients, with sedative- hypnotics (benzodiazepines, zopiclone, zolpidem, and pregabalin) being the substance used by 52% of patients. Baseline use of these drugs and/or buprenorphine predicted for hospitalization when controlling for OMT status. During the follow-up period, 72% of patients met the criteria for a psychiatric diagnosis other than OUD. The prevalence of non-substance use disorders overlapping with SUD was 41%, and that overlapping with anxiety disorder was 27% of all participants. Increased attention to psychiatric co-occurring disorders in the treatment of OUD is required and the importance of addressing sedative-hypnotics use when initiating OMT is highlighted.

Long-term follow-up assessment of opioid use outcomes among individuals with comorbid mental disorders and opioid use disorder treated with buprenorphine or methadone in a randomized clinical trial

AIMS

To investigate whether reduction in opioid use differs when treated by either buprenorphine-naloxone (BUP) or methadone (MET) among adults with comorbid opioid use disorder (OUD) and mental disorders.

DESIGN, SETTING AND PARTICIPANTS

In a randomized controlled trial, adults with OUD were randomized to 24 weeks of either BUP or MET treatment and were followed up in 3-yearly assessments. The present secondary analyses were based on 597 participants who completed all assessments.

MEASUREMENTS

The outcome measure was the number of days of using opioids per month during the follow-up period. The Mini-International Neuropsychiatric Interview (MINI) was used to classify participants into three groups: life-time mood disorder (n = 302), life-time mental disorder other than mood disorder (n = 114) and no mental disorder (n = 181). Medication treatment (BUP, MET, no treatment) during the follow-up period was a time-varying predictor.

FINDINGS

Based on zero-inflated Poisson (ZIP) mixed regression analysis, it was found that relative to no treatment, opioid use during the follow-up was significantly reduced by BUP [odds ratio (OR) = 0.12, 95% confidence interval (CI) = 0.07-0.21 for any use; risk ratio (RR) = 0.77, 95% CI =0.66-0.89 for days of use] and by MET [OR = 0.33, 95% CI = 0.25-0.45 for any use; RR = 0.78, 95% CI = 0.72-0.84 for days of use]. Relative to MET, BUP was associated with a lower likelihood of any opioid use among participants with mood disorders (OR = 0.52, 95% CI = 0.36-0.74) and for participants without mental disorder (OR = 0.37, 95% CI = 0.21-0.66) and fewer number of days using opioids (RR = 0.37, 95% CI = 0.25-0.56) among participants with other mental disorders.

CONCLUSIONS

Among adults with comorbid opioid use disorder and mental disorders, treatment with buprenorphine-naloxone produced greater reductions in opioid use than treatment with methadone.

Factors Associated With Increased Opioid Use During the COVID-19 Pandemic: A Prospective Study of Patients Enrolled in Opioid Agonist Treatment

The opioid use disorder (OUD) crisis in North America has become “an epidemic within a pandemic” in the context of the COVID-19 virus. We aimed to explore the association between the COVID-19 pandemic and changes in opioid use patterns among patients receiving treatment for OUD.

Polysubstance Use Among Patients Treated With Buprenorphine From a National Urine Drug Test Database

IMPORTANCE

Polysubstance use is a concern for patients treated for opioid use disorder (OUD). While buprenorphine can curtail harmful opioid use, co-occurring use of nonprescribed substances, such as cocaine, methamphetamine, and other opioids, may negatively affect treatment outcomes.

OBJECTIVE

To characterize factors associated with urine drug positivity for nonprescribed substances among patients prescribed buprenorphine.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included patients who had been prescribed buprenorphine and who provided urine specimens for urine drug testing (UDT), as ordered by clinicians in primary care or behavioral health or at substance use disorder treatment centers, from 2013 to 2019. Specimens were analyzed by liquid chromatography-tandem mass spectrometry to assess positivity for several commonly used substances.

EXPOSURES

Buprenorphine prescription.

MAIN OUTCOMES AND MEASURES

Positivity for buprenorphine and several nonprescribed substances. Unadjusted trends in positivity for each nonprescribed substance were compared between specimens that did and did not test positive for buprenorphine. Multivariable logistic regression was used to examine factors associated with positivity; factors included patient age, sex, setting of care, payer, collection year, and census division.

RESULTS

The study included first UDT specimens from 150 000 patients, of whom 82 107 (54.74%) were men and 77 300 (51.53%) were aged 18 to 34 years. Across all specimens, 128 240 (85.49%) were positive for buprenorphine, and 71 373 (47.58%) were positive for 1 or more nonprescribed substances. From 2013 to 2019, positivity rates increased for most substances (eg, fentanyl: from 131 of 21 412 [0.61%] to 1464 of 13 597 [10.77%]). Factors associated with positivity varied widely by substance; for example, fentanyl positivity was highest for men (OR, 1.13; 95% CI, 1.06-1.21), patients aged 18 to 24 years (OR for patients ≥55 years, 0.46; 95% CI, 0.39-0.54), patients living in New England (OR, 1.19; 95% CI, 1.07-1.33), and patients with Medicaid (OR, 1.20; 95% CI, 1.11-1.31), whereas oxycodone positivity was greatest for women (OR for men, 0.84; 95% CI, 0.79-0.89), patients older than 55 years (OR, 1.42; 95% CI, 1.22-1.64), patients living in the South Atlantic (OR, 1.45, 95% CI, 1.33-1.58), and patients with private insurance (OR for Medicaid, 0.78; 95% CI, 0.73-0.84). Patients whose specimens were positive for buprenorphine were significantly less likely to be positive for other opioids (eg, fentanyl: OR for buprenorphine-negative samples, 6.71; 95% CI, 6.29-7.16; heroin: OR for buprenorphine-negative samples, 9.93; 95% CI, 9.31-10.59).

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, patterns of nonprescribed substance positivity among patients prescribed buprenorphine varied widely. This study highlights the utility of UDT in public health surveillance efforts related to patients treated with buprenorphine for OUD.

Cannabis use is associated with lower retention in methadone maintenance treatment, but not among schizophrenic- and other chronically psychotic patients

The findings of studies on cannabis use and retention in methadone maintenance treatment (MMT) are inconsistent.

To study cannabis use and its relationship to patients' outcomes in MMT with/without lifetime DSM-IV-TR schizophrenia/chronic-psychosis diagnosis.

Since June 1993, 877 patients with available lifetime DSM-IV-TR psychiatric diagnosis were followed-up until December 2017. Urine drug screens on admission and after one year were analyzed.

Lifetime schizophrenia/psychosis was diagnosed in 50 (5.7%) patients. They did not differ from the other 827 by admission cannabis use (18.0% vs. 12.3%) and had similar 1-year retention rates (76.0% vs.77.0%, respectively). Cumulative retention of the cohort excluding schizophrenia/chronic-psychosis was longer for the 667 patients who did not use cannabis after 1-year (9.1 years, 95%CI 8.4-9.9) compared with the 118 cannabis-users after 1-year (6.0 years, 95% CI 4.8-7.2, p<.001). Among the schizophrenia/chronic-psychosis group, cannabis was not related to retention (38 non-users, 7.9 years 95%CI 5.2-10.5 vs. 9 cannabis-users, 9.9 years, 95% CI 3.8-16.0, p=.5). Survival was shorter for the 41 schizophrenia/chronic-psychosis non-users (15.2 years, 95% CI 12.8-17.7) than for the 719 non-schizophrenia/chronic-psychosis non-users (18.5, 95%CI 17.9-19.2, p = 0.009). However, survival was comparable among the 9 cannabis-users with schizophrenia/chronic-psychosis (20.1, 95% CI 16.2-24.1) and 101 other cohort users (18.6, 95% CI 16.9-20.4).

Cannabis use is associated with decreased retention among MMT patients, however the effects of cannabis on schizophrenia/psychosis patients on retention and survival cannot be verified due to the small sample size and the limited data regarding chronicity of cannabis use. Future larger, prospective studies are needed.

Number of opioid overdoses and depression as a predictor of suicidal thoughts

BACKGROUND

Opioid use disorders are associated with increased risk of suicide thoughts, attempts, and death. We explored key variables from two theories of the development of suicidal thoughts and attempts (the interpersonal and three-step theories of suicide) to understand possible mechanisms underlying the association between opioid use and suicide risk. We hypothesized that interpersonal connections, variables reflecting psychological and physical pain, and variables that reduce fear of death (prior overdoses and risk-taking behaviors) would be associated with increased risk of thoughts of suicide.

METHODS

Participants (N = 141) were opioid users recruited from an epicenter of the opioid crisis in Philadelphia using a mobile research center and completed an interview to assess substance use, depression, medical comorbidities, and suicidal thoughts among other variables.

RESULTS

Univariate analyses showed that prior history of overdose, diagnosis of depression, older age, homelessness, and interpersonal connection were each associated with increased likelihood of endorsing thoughts of death/suicide. Multivariable analyses revealed prior history of overdose and depression were the variables most strongly associated with risk for thoughts of suicide.

CONCLUSIONS

Consistent with two theories of the development of suicidal thoughts and attempts, exposure to variables that reduce fear of death (e.g., overdoses) were associated with suicidal thoughts. In contrast, other risk-taking behaviors, medical comorbidities, and substance use were not key predictors of suicidal thoughts in this sample. Implications for targeted risk assessment among clinicians are discussed.

Cannabis use in patients treated for opioid use disorder pre- and post-recreational cannabis legalization in Canada

Background

As the legalization of recreational cannabis becomes more widespread, its impact on individuals with substance use disorders must be studied. Amidst an ongoing opioid crisis, Canada’s legalization of recreational cannabis in October 2018 provides an important setting for investigation. We examined changes to cannabis use patterns in patients receiving medication-assisted treatment (MAT) for opioid use disorder (OUD) following legalization.

Methods

This study includes cross-sectional data from 602 participants recruited 6 months pre-legalization and 788 participants recruited 6 months post-legalization, providing information on cannabis use. Regression analysis was used to estimate the association between legalization and cannabis use patterns. We collected longitudinal urine drug screens (UDSs) detecting cannabis-metabolites for 199 participants recruited pre-legalization and followed prospectively post-legalization. Conditional logistic regression was used to assess the association between legalization and UDS results.

Results

Past-month cannabis use was self-reported by 54.8 and 52.3% of participants recruited pre- and post-legalization, respectively. Legalization was not associated with changes in any measured cannabis characteristics: cannabis use (OR 0.91, 95% CI 0.73–1.13), days of use/month (B -0.42, 95% CI - 2.05-1.21), money spent, or cannabis source. There was no association between legalization and prevalence of cannabis use on UDS (OR 1.67, 95% CI 0.93–2.99) or percentage of cannabis-positive UDSs (OR 1.00, 95% CI 0.99–1.01). Participants overwhelmingly reported that legalization would have no impact on their cannabis use (85.7%).

Conclusions

Amongst patients treated for OUD, no significant change in cannabis use was observed following legalization; however, high rates of cannabis use are noted.

Impact of opioid agonist treatment on mental health in patients with opioid use disorder: a systematic review and network meta-analysis of randomized clinical trials

Background: There is a knowledge gap in systematic reviews on the impact of opioid agonist treatments on mental health.Objectives: We compared mental health outcomes between different opioid agonist treatments and placebo/waitlist, and between the different opioids themselves.Methods: This meta-analysis of randomized clinical trials (RCTs) was pre-registered at PROSPERO (CRD42018109375). Embase, MEDLINE, PsychInfo, CINAHL Complete, and Web of Science Core Collection were searched from inception to May 2020. RCTs were included if they compared opioid agonists with each other or with placebo/waitlist in the treatment of patients with opioid use disorder and reported at least one mental health outcome after 1-month post-baseline. Studies with psychiatric care, adjunct psychotropic medications, or unbalanced psychosocial services were excluded. The primary outcome was overall mental health symptomatology, e.g. Symptom Checklist 90 total score, between opioids and placebo/waitlist. Random effects models were used for all the meta-analyses.Results: Nineteen studies were included in the narrative synthesis and 15 in the quantitative synthesis. Hydromorphone, diacetylmorphine (DAM), methadone, slow-release oral morphine, buprenorphine, and placebo/waitlist were among the included interventions. Based on the network meta-analysis for primary outcomes, buprenorphine (SMD (CI95%) = -0.61 (-1.20, -0.11)), DAM (-1.40 (-2.70, -0.23)), and methadone (-1.20 (-2.30, -0.11)) were superior to waitlist/placebo on overall mental health. Further direct pairwise meta-analysis indicated that overall mental health improved more in DAM compared to methadone (-0.23 (-0.34, -0.13)).Conclusions: Opioid agonist treatments used for the treatment of opioid use disorder improve mental health independent of psychosocial services.

The future of precision medicine in opioid use disorder: inclusion of patient-important outcomes in clinical trials

Opioid use has reached an epidemic proportion in Canada and the United States that is mostly attributed to excess availability of prescribed opioids for pain. This excess in opioid use led to an increase in the prevalence of opioid use disorder (OUD) requiring treatment. The most common treatment recommendations include medication-assisted treatment (MAT) combined with psychosocial interventions. Clinical trials investigating the effectiveness of MAT, however, have a limited focus on effectiveness measures that overlook patient-important outcomes. Despite MAT, patients with OUD continue to suffer negative consequences of opioid use. Patient goals and personalized medicine are overlooked in clinical trials and guidelines, thus missing an opportunity to improve prognosis of OUD by considering precision medicine in addiction trials. In this mixed-methods study, patients with OUD receiving MAT (n=2,031, mean age 39.1 years [SD 10.7], 44% female) were interviewed to identify patient goals for MAT. The most frequently reported patient-important outcomes were to stop treatment (39%) and to avoid all drugs (25%). These results are inconsistent with treatment recommendations and trial outcome measures. We discuss theses inconsistencies and make recommendations to incorporate these outcomes to achieve patient-centered and personalized treatment strategies.

A spatiotemporal analysis of opioid poisoning mortality in Ohio from 2010 to 2016

Opioid-related deaths have severely increased since 2000 in the United States. This crisis has been declared a public health emergency, and among the most affected states is Ohio. We used statewide vital statistic data from the Ohio Department of Health (ODH) and demographics data from the U.S. Census Bureau to analyze opioid-related mortality from 2010 to 2016. We focused on the characterization of the demographics from the population of opioid-related fatalities, spatiotemporal pattern analysis using Moran's statistics at the census-tract level, and comorbidity analysis using frequent itemset mining and association rule mining. We found higher rates of opioid-related deaths in white males aged 25-54 compared to the rest of Ohioans. Deaths tended to increasingly cluster around Cleveland, Columbus and Cincinnati and away from rural regions as time progressed. We also found relatively high co-occurrence of cardiovascular disease, anxiety or drug abuse history, with opioid-related mortality. Our results demonstrate that state-wide spatiotemporal and comorbidity analysis of the opioid epidemic could provide novel insights into how the demographic characteristics, spatiotemporal factors, and/or health conditions may be associated with opioid-related deaths in the state of Ohio.

The association between cannabis use and outcome in pharmacological treatment for opioid use disorder

BACKGROUND

With the ongoing opioid crisis and policy changes regarding legalization of cannabis occurring around the world, it is necessary to consider cannabis use in the context of opioid use disorder (OUD) and its treatment. We aimed to examine (1) past-month cannabis use in patients with OUD, (2) self-reported cannabis-related side effects and craving, and (3) the association between specific characteristics of cannabis use and opioid use during treatment in cannabis users.

METHODS

Participants receiving pharmacological treatment for OUD (n = 2315) were recruited from community-based addiction treatment clinics in Ontario, Canada, and provided information on past-month cannabis use (self-report). Participants were followed for 3 months with routine urine drug screens in order to assess opioid use during treatment. We used logistic regression analysis to explore (1) the association between any cannabis use and opioid use during treatment, and (2) amongst cannabis-users, specific cannabis use characteristics associated with opioid use. Qualitative methods were used to examine responses to the question: "What effect does marijuana have on your treatment?".

RESULTS

Past-month cannabis use was reported by 51% of participants (n = 1178). Any cannabis use compared to non-use was not associated with opioid use (OR = 1.03, 95% CI 0.87-1.23, p = 0.703). Amongst cannabis users, nearly 70% reported daily use, and half reported experiencing cannabis-related side effects, with the most common side effects being slower thought process (26.2%) and lack of motivation (17.3%). For cannabis users, daily cannabis use was associated with lower odds of opioid use, when compared  with occasional use (OR = 0.61, 95% CI 0.47-0.79, p < 0.001) as was older age of onset of cannabis use (OR = 0.97, 95% CI 0.94, 0.99, p = 0.032), and reporting cannabis-related side effects (OR = 0.67, 95% CI 0.51, 0.85, p = 0.001). Altogether, 75% of cannabis users perceived no impact of cannabis on their OUD treatment.

CONCLUSION

Past-month cannabis use was not associated with more or less opioid use during treatment. For patients who use cannabis, we identified specific characteristics of cannabis use associated with differential outcomes. Further examination of characteristics and patterns of cannabis use is warranted and may inform more tailored assessments and treatment recommendations.

Understanding barriers to treatment among individuals not engaged in treatment who misuse opioids: A structural equation modeling approach

Background: Many individuals misusing opioids do not enter into treatment. The question of who enters into treatment for their opioid abuse and under what circumstances is complex and shaped by multiple factors. The objective of the current study is to explore the risk factors for wide-ranging and numerous barriers to treatment among social media users. Method: Opioid-related forums within a popular social media platform were used to recruit non-treatment engaged individuals (≥15 years) who had misused opioids in the past month (n = 144; 66% male; median age 28). Four treatment barrier factors were identified utilizing principle component analysis: (1) stigma, (2) awareness, (3) attitudinal, and (4) denial. A structural equation model (SEM) was then created to explore the risk factors for different types of barriers to OUD treatment. Results: The most common barriers among participants not engaged in treatment for their opioid misuse were the belief that one should be able to help themselves with their condition (66%), treatment was too expensive (63%), and worries about being labeled or judged (57%). Additionally, SEM results demonstrate stigma barriers, awareness, and attitudinal barriers were associated with mental health comorbidities, opioid abuse and dependence severity, and treatment history. Denial barriers, however, were only associated with treatment history, and structural/financial barriers were only associated with opioid abuse and dependence severity. Conclusions: Our research findings are relevant for underscoring the wide-ranging and numerous barriers to treatment faced by individuals misusing opioids that are especially concentrated among those who also struggle with comorbid mental illness.

Gender Differences in Patterns and Correlates of Continued Substance Use among Patients in Methadone Maintenance Treatment

Continued substance use is common during opioid use disorder (OUD) treatment. There are still inconsistencies in how continued substance use and concurrent patterns of substance use among patients with OUD varies by gender. There is still more to learn regarding how factors associated with continued and concurrent use might differ for men and women in methadone maintenance treatment (MMT). Methods: This cross-sectional study examined predictors of concurrent substance use subgroups among patients receiving MMT. The sample included 341 (n = 161 women) MMT patients aged 18 and older from opioid treatment programs in Southern New England and the Pacific Northwest. Patients completed a survey assessing sociodemographic and clinical characteristics including past-month substance use. Latent class analyses were conducted by gender to identify groups based on substance use and determine predictors of those classes. Results: Three-class solutions were the optimal fit for both men and women. For both genders, the first subgroup was characterized as Unlikely Users (59.8% women, 52.8% men). Classes 2 and 3 among women were Cannabis/Opioid Users (23.7%) and Stimulant/Opioid Users (13.0%). Among men, Classes 2 and 3 consisted of Alcohol/Cannabis Users (21.9%) and Cannabis/Stimulant/Opioid Users (25.3%). Ever using Suboxone (buprenorphine/naloxone) and depression/anxiety symptoms were significantly linked to substance use group among women, whereas homelessness and employment status were significantly associated with substance use group among men. Conclusions: This study furthers understanding of gender differences in factors associated with continued substance use and distinctive patterns of concurrent substance use that may guide tailored treatments among patients MMT.

Large and non-specific somatic disease burdens among ageing, long-term opioid maintenance treatment patients

Objectives

To describe and explore somatic disease burdens of ageing long-term patients in opioid maintenance treatment (OMT), a unique population emerging in countries offering OMT as a long-term treatment.

Methods

We used data from the Norwegian Cohort of Patient in Opioid Maintenance Treatment and Other Drug Treatment Study (NorComt). 156 patients enrolled for at least three of the past five years provided data during structured interviews, including on chronic conditions, somatic treatment received, mental distress (SCL-25), and treatment satisfaction. A somatic disease burden was calculated from a list measuring the recent severity of 16 somatic complaints. A hierarchical multiple linear regression analysis identified correlates of somatic disease burden.

Results

Over half of patients reported at least seven somatic complaints. Reported somatic disease burden was associated with higher mental distress, more chronic conditions, fewer years in OMT, and treatment dissatisfaction. Age was unrelated, and there were few gender differences. These five variables explained 43.6% of the variance in disease burden.

Conclusion

Long-term OMT patients experience a large range of somatic complaints, and at non-acute levels. As OMT secures longevity for opioid-dependent persons, the clinical focus must be adjusted from acute to chronic care. Providers must address how to optimize health and quality of life while in treatment, as treatment may last for many years.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13011-020-00311-4.

Exploring the Association between Cannabis Use and Testosterone Levels in Men Receiving Methadone Maintenance Treatment

Cannabis and opioids are substances that affect reproductive health. Opioids suppress testosterone and studies have shown that cannabis may increase testosterone. However, there is minimal research describing the endocrine effects of concurrent cannabis and opioid use. We hypothesize that cannabis use improves opioid-induced testosterone suppression. To test this hypothesis, we used cross-sectional data from a prospective cohort study including 122 men enrolled in methadone maintenance treatment (MMT). We measured serum testosterone with an enzyme-linked immunosorbent assay at study enrolment. Urine drug screens were collected for 15 months and identified 52.5% of participants (n = 64) as cannabis users. The association between cannabis use and testosterone level was examined using regression models with serum testosterone as the dependent variable. In our multivariable regression, methadone dose was associated with lower serum testosterone (β = −0.003, 95% CI-0.005, −0.001, p = 0.003). However, neither cannabis use as a dichotomous variable nor the percentage of cannabis-positive urine drug screens were significantly associated with serum testosterone (β = 0.143, 95% CI −0.110, 0.396, p = 0.266, and β = 0.002, 95% CI > −0.001, 0.005, p = 0.116, respectively). Therefore, it does not appear that cannabis has an association with testosterone levels in men on MMT.

Health-related quality of life of long-term patients receiving opioid agonist therapy: a nested prospective cohort study in Norway

Background

Opioid dependence carries the highest disease burden of all illicit drugs. Opioid agonist therapy (OAT) is an evidence-based medical intervention that reduces morbidity and mortality. There is limited knowledge on the health-related quality of life (HRQoL) of long-term patients in OAT. This study measures HRQoL and self-perceived health of long-term patients on OAT, compares the scores to a Norwegian reference population, and assesses changes in these scores at 1-year follow up.

Methods

We conducted a nested prospective cohort study among nine OAT outpatient clinics in Norway. 609 OAT patients were included, 245 (40%) followed-up one year later. Data on patient characteristics, HRQoL, and self-perceived health was collected. HRQoL was assessed with the EQ-5D-5L, which measures five dimensions (mobility, self-care, usual activities, pain/discomfort and anxiety/depression) on a five-point Likert scale (from “no problems” to “extreme problems”). An UK value set was applied to calculate index values (from 0 to 1) for the EQ-5D-5L and compare them to a Norwegian reference population. Self-perceived health was measured with EQ-VAS (from 0 to 100).

Results

Mean (standard deviation (SD)) EQ-5D-5L index value at baseline was 0.699 (0.250) and EQ-VAS 57 (22) compared to 0.848 (0.200) and 80(19) for the Norwegian reference population. There were large variations in EQ-5D-5L index values, where 43% had > 0.8 and 5% had < 0.2 at baseline. The lowest EQ-5D-5L index values were observed for female patients, age groups older than 40 years and for methadone users. At follow-up, improvements in HRQoL were observed across almost all dimensions and found significant for mobility and pain/discomfort. Mean (SD) overall index value and EQ-VAS at follow up were 0.729 (0.237) and 59 (22) respectively.

Conclusion

The average HRQoL and self-perceived health of OAT patients is significantly lower than that of the general population, and lower than what has been found among other severe somatic and psychiatric conditions. Around 34% had very good HRQoL, higher than average Norwegian values, and around 5% had extremely poor HRQoL.

Psychosis and Comorbid Opioid Use Disorder: Characteristics and Outcomes in Opioid Substitution Therapy

Background and Objectives

Substance use disorders are highly prevalent among individuals with psychotic disorders and are associated with negative outcomes. This study aims to explore differences in characteristics and treatment outcomes for individuals with psychotic disorders when compared with individuals with other nonpsychotic psychiatric disorders enrolled in treatment for opioid use disorder (OUD).

Methods

Data were collected from a prospective cohort study of 415 individuals enrolled in outpatient methadone maintenance treatment (MMT). Psychiatric comorbidity was assessed using the Mini-International Neuropsychiatric Interview. Participants were followed for 12 months. Participant characteristics associated with having a psychotic disorder versus another nonpsychotic psychiatric disorder were explored by logistic regression analysis.

Results

Altogether, 37 individuals (9%) with a psychotic disorder were identified. Having a psychotic disorder was associated with less opioid-positive urine drug screens (odds ratio [OR] = 0.97, 95% confidence interval [CI] = 0.95, 0.99, P = .046). Twelve-month retention in treatment was not associated with psychotic disorder group status (OR = 0.73, 95% CI = 0.3, 1.77, P = .485). Participants with psychotic disorders were more likely to be prescribed antidepressants (OR = 2.12, 95% CI = 1.06, 4.22, P = .033), antipsychotics (OR = 3.57, 95% CI = 1.74, 7.32, P = .001), mood stabilizers (OR = 6.61, 95% CI = 1.51, 28.97, P = .012), and benzodiazepines (OR = 2.22, 95% CI = 1.11, 4.43, P = .024).

Discussion and Conclusions

This study contributes to the sparse literature on outcomes of individuals with psychotic disorders and OUD-receiving MMT. Rates of retention in treatment and opioid use are encouraging and contrast to the widely held belief that these individuals do more poorly in treatment. Higher rates of coprescription of sedating and QTc-prolonging medications in this group may pose unique safety concerns.

Potentially addictive drugs dispensing to patients receiving opioid agonist therapy: a register-based prospective cohort study in Norway and Sweden from 2015 to 2017

OBJECTIVES

To compare the use of benzodiazepines, z-hypnotics, gabapentinoids, opioids and centrally acting stimulants (CAS) among patients who had received opioid agonist therapy (OAT) in Norway and Sweden during the period 2015 - 2017.

DESIGN

A register-based prospective cohort study using information about dispensed drugs from the Norwegian Prescription Database and Swedish Prescribed Drug Register.

SETTING

Patients who were dispensed OAT opioids from pharmacies.

PARTICIPANTS

A total of 7176 Norwegian and 3591 Swedish patients on OAT were included.

OUTCOME MEASURES

The number and frequency of potentially addictive drugs dispensed were calculated for the two countries. The mean daily doses of dispensed benzodiazepines and z-hypnotics were summarised by calculating benzodiazepines in diazepam equivalents and z-hypnotics in zopiclone equivalents.

RESULTS

In 2017, 46% of patients in Norway, and 15% in Sweden, were dispensed a benzodiazepine. Moreover, 14% in Norway and 26% in Sweden received z-hypnotics. Gabapentinoids were dispensed to 10% of patients in Norway and 19% of patients in Sweden. In Norway, 6% and 12% of the patients received strong and weak non-OAT opioids, respectively, whereas in Sweden 10% were dispensed strong non-OAT opioids and 5% weak non-OAT opioids . CAS were dispensed to 4% in Norway and 18% in Sweden. The mean daily doses of benzodiazepines were 16 and 17 mg diazepam equivalents in Norway and Sweden, respectively. For z-hypnotics, the mean daily dose was 8 mg zopiclone equivalents in both countries. 'Benzodiazepines and z-hypnotics' was the most dispensed drug combination in 2017. Similar results were found in 2015 and 2016.

CONCLUSIONS

Nearly half of those patients who were dispensed an OAT opioid in Norway and Sweden were dispensed potentially addictive drugs. The differences identified between Norway and Sweden might be related to differences in eligibility guidelines and restrictions with respect to OAT.

Social functioning outcomes in men and women receiving medication-assisted treatment for opioid use disorder

Background

Social functioning (SF), the ability to engage with life and fulfill roles may be a salient “patient important outcome” in addiction treatment. It is not known if medication-assisted treatment (MAT) impacts SF in opioid use disorder (OUD). There is a growing evidence to suggest that men and women are impacted differently by OUD. This study is the largest to date to study sex differences in OUD and explore associations between MAT and SF.

Methods

Data were collected from 2736 participants with OUD, enrolled in MAT for varying lengths of time, in outpatient clinics across Ontario. SF was defined according to the Maudsley Addiction Profile’s domains of (1) employment, (2) criminal activity, and (3) interpersonal conflict. Using logistic regression analysis, we examined sociodemographic and clinical factors associated with domains of SF.

Results

There were 1544 men (56%) and 1192 women (44%) in this study, and ages varied from 17 to 76 years for men and 18 to 69 years for women. At study entry, participants had been on MAT for a median of 2 years. Compared to men, women reported more psychological (mean MAP score 14/40, SD = 9.55, versus 11/40, SD = 8.64; p < 0.001) and physical symptoms (mean MAP score 17/40, SD = 7.70 versus 14/40, SD = 7.74; p < 0.001). More women reported unemployment(74% versus 58%; p < 0.0001) and interpersonal conflict (46% versus 35%; p < 0.0001). Men were more likely than women to report criminal activity (11%, versus 8%; p = 0.001). Psychological symptoms increased the risk of worse SF, across domains, for men and for women. Every year on MAT was associated with a 7% increase in the odds of women engaging with criminal activity (OR = 1.07, 95% CI 1.02, 1.12, p = 0.006).

Conclusions

Men and women had different SF profiles and psychological symptoms scores while on MAT. The length of time on MAT increased the risk of criminal activity in women, and overall, duration of MAT was not associated with improvement in SF. This may suggest that MAT alone may not support continual improvements in SF in OUD.

Exploring psychological symptoms and associated factors in patients receiving medication-assisted treatment for opioid-use disorder

BACKGROUND

Patients receiving treatment for opioid-use disorder (OUD) may experience psychological symptoms without meeting full criteria for psychiatric disorders. The impact of these symptoms on treatment outcomes is unclear.

AIMS

To determine the prevalence of psychological symptoms in a cohort of individuals receiving medication-assisted treatment for OUD and explore their association with patient characteristics and outcomes in treatment.

METHOD

Data were collected from 2788 participants receiving ongoing treatment for OUD recruited in two Canadian prospective cohort studies. The Maudsley Addiction Profile psychological symptoms subscale was administered to all participants via face-to-face interviews. A subset of participants (n = 666) also received assessment for psychiatric disorders with the Mini International Neuropsychiatric Interview. We used linear regression analysis to explore factors associated with psychological symptom score.

RESULTS

The mean psychological symptom score was 12.6/40 (s.d. = 9.2). Participants with psychiatric comorbidity had higher scores than those without (mean 16.8 v. 8.6, P<0.001) and 31% of those with psychiatric comorbidity reported suicidal ideation. Higher psychological symptom score was associated with female gender (B = 1.59, 95% CI 0.92-2.25, P<0.001), antidepressant prescription (B = 4.35, 95% CI 3.61-5.09, P<0.001), percentage of opioid-positive urine screens (B = 0.02, 95% CI 0.01-0.03, P<0.001), and use of non-opioid substances (B = 1.92, 95% CI 0.89-2.95, P<0.001). Marriage and employment were associated with lower psychological symptoms.

CONCLUSIONS

Psychological symptoms are associated with treatment outcomes in this population and the prevalence of suicidal ideation is an area of concern. Our findings highlight the ongoing need to optimise integrated mental health and addictions services for patients with OUD.

Opioid-related deaths in Europe: Strategies for a comprehensive approach to address a major public health concern

Use of illicit opioids and misuse of prescription opioids are the main causes of drug-related deaths across the world, and the continuing rise in opioid-related mortality, especially affecting North America, Australia and Europe, is a public health challenge. Strategies that may help to decrease the high levels of opioid-related mortality and morbidity and improve care across Europe include risk assessment and interventions to improve the use of opioid analgesics, e.g. prescription drug-monitoring programmes, education on pain management to reduce opioid prescribing, and the implementation of evidence-based primary prevention programmes to reduce the demand for opioids. For patients who develop opioid use disorder (a chronic and relapsing problematic use of opioids that causes clinical impairment or distress), treatment combining opiate receptor full or partial agonist medications for opioid-use disorder (MOUD) with psychosocial interventions is essential. However, in Europe a substantial proportion of the 1.3 million high-risk opioid users (defined as injecting drug use or regular use of opioids, mainly heroin) remain outside of dedicated treatment programmes. More widespread and easier access to MOUD could reduce mortality levels; via approaches such as primary care-led treatment models, and efforts to improve patient retention and adherence to treatment programmes. Other harm-reduction strategies, such as the use of MOUD at optimal doses, the provision of take-home naloxone, the introduction of supervised drug-consumption facilities, and patient education to reduce the risk of overdose may also be beneficial.

A prospective observational study of heroin users in Johannesburg, South Africa: Assessing psychiatric comorbidities and treatment outcomes

BACKGROUND

Despite the rise in heroin use in sub Saharan-Africa opioid agonist maintenance treatment (OAMT) is still not state-funded in South Africa and many other African countries. In South Africa there has been little data published on the profile of heroin users and the outcomes of treatment for those who attend public treatment services.

METHODS

300 heroin users from two state-funded rehabilitation centres in Johannesburg were studied at entry into rehabilitation and 3-months after treatment. Treatment consisted of inpatient detoxification and inpatient psychosocial rehabilitation. Structured interviews measured changes in drug use, psychopathology and criminality post rehabilitation.

RESULTS

Most (65.7%) smoked heroin in combination with cannabis while 29.7% were injecting users. Almost half the sample (49.3%) had at least one mental illness. Of the 252 (84%) participants seen at 3-month follow-up, 6.3% were abstinent of all substances (excluding tobacco), 65.5% had continued heroin use (CHU) and the balance used other substances. At follow-up there were significant decreases in heroin use (p<0.0001) and criminality (p<0.0001). There were however significant increases in alcohol use (p<0.0001), crystalmetamphetamine use (p=0.032) and the prevalence of current episode of major depression (p<0.0001). Just 11.9% received formal psychosocial treatment after leaving rehabilitation. None were on OAMT and only three participants were on psychotropic medication. None were tested for Hepatitis C during the study period and the majority (53%) did not know their HIV status.

CONCLUSION

There are significant gaps in current treatment services for heroin users in South Africa. Retention in treatment and assessment and management of psychiatric and non-psychiatric comorbidities is low. Services need to be more integrated and should also include the provision of OAMT.

The association between health conditions and cannabis use in patients with opioid use disorder receiving methadone maintenance treatment

BACKGROUND

Cannabis is the most commonly used substance among patients in methadone maintenance treatment (MMT) for opioid use disorder. Current treatment programmes neither screen nor manage cannabis use. The recent legalisation of cannabis in Canada incites consideration into how this may affect the current opioid crisis.

AIMS

Investigate the health status of cannabis users in MMT.

METHOD

Patients were recruited from addiction clinics in Ontario, Canada. Regression analyses were used to assess the association between adverse health conditions and cannabis use. Further analyses were used to assess sex differences and heaviness of cannabis use.

RESULTS

We included 672 patients (49.9% cannabis users). Cannabis users were more likely to consume alcohol (odds ratio 1.46, 95% CI 1.04-2.06, P = 0.029) and have anxiety disorders (odds ratio 1.75, 95% CI 1.02-3.02, P = 0.043), but were less likely to use heroin (odds ratio 0.45, 95% CI 0.24-0.86, P = 0.016). There was no association between cannabis use and pain (odds ratio 0.98, 95% CI 0.94-1.03, P = 0.463). A significant association was seen between alcohol and cannabis use in women (odds ratio 1.79, 95% CI 1.06-3.02, P = 0.028), and anxiety disorders and cannabis use in men (odds ratio 2.59, 95% CI 1.21-5.53, P = 0.014). Heaviness of cannabis use was not associated with health outcomes.

CONCLUSIONS

Our results suggest that cannabis use is common and associated with psychiatric comorbidities and substance use among patients in MMT, advocating for screening of cannabis use in this population.

DECLARATION OF INTEREST

None.

Cannabis use during methadone maintenance treatment for opioid use disorder: a systematic review and meta-analysis

BACKGROUND

Rates of cannabis use among patients receiving methadone maintenance therapy are high, and cannabis use may be associated with outcomes of methadone maintenance therapy. We examined the effect of cannabis use on opioid use in patients receiving methadone maintenance therapy to test the hypothesis that cannabis use is associated with a reduction in opioid use.

METHODS

In this systematic review, we searched MEDLINE/PubMed, Embase, PsycINFO, CINAHL and ProQuest Dissertations and Theses Global from inception to July 12, 2018. We summarized the effects of cannabis use on opioid use during methadone maintenance therapy and treatment retention. We conducted meta-analyses using a random effects model.

RESULTS

We included 23 studies in our review. We performed a meta-analysis of 6 studies, with a total number of participants of 3676, examining use of cannabis and opioids during methadone maintenance therapy. Owing to high heterogeneity, we described the studies qualitatively but provide the forest plots as supplemental material. The overall quality of evidence was very low, with a high risk of bias, owing to the nature of observational studies.

INTERPRETATION

We found no consensus among studies that cannabis use is associated with reduced opioid use or longer treatment retention when used during methadone maintenance therapy in patients with opioid use disorder. PROSPERO Registration: CRD42015029372.

Pain catastrophizing and pain acceptance are associated with pain severity and interference among methadone-maintained patients

OBJECTIVE

The present study examined whether pain catastrophizing and pain acceptance, two important targets of psychosocial interventions for chronic pain, are uniquely associated with pain severity and pain interference among patients on methadone maintenance treatment (MMT).

METHOD

A total of 133 MMT patients who reported experiencing some pain during the previous week completed a battery of self-report measures. Multiple regression was used to test whether pain catastrophizing and pain acceptance are related to pain severity and pain interference above and beyond covariates including demographics, emotional distress, and current methadone dose.

RESULTS

Both pain acceptance and catastrophizing were significantly associated with pain severity and pain interference while controlling for covariates.

CONCLUSIONS

Consistent with previous literature on patients with chronic pain but without opioid use disorder, our findings suggest that both pain catastrophizing and pain acceptance are potentially important intervention targets among MMT patients with co-occurring opioid use disorder and chronic pain.

Health Related Quality of Life in Individuals Transferred from a Needle Exchange Program and Starting Opioid Agonist Treatment

Background

Opioid agonist treatment (OAT), for the treatment of heroin dependence, has been reported to improve overall health and lower mortality. Drug use and retention in treatment have often been used as measures of treatment success. More recently, however, researchers have suggested that measurements of quality of life should be an outcome in substance use treatment evaluations. In a recent randomized controlled trial we demonstrated high rates of successful rapid referral from a needle exchange program (NEP) to OAT. The aim of this study was to see whether an improvement in health related quality of life (HRQoL) could be seen at 3-month follow-up after starting OAT and whether it was associated with any baseline characteristics. We also wanted to compare our sample to a sample from the general population with regard to HRQoL.

Methods

This was a 3-month follow-up of 71 patients who started OAT. Measurements of HRQoL with EQ-5D (an instrument developed by the EuroQol group) were made at baseline and at three months.

Results

Mean EQ-5D VAS (visual analogue scale) for the study sample at baseline was 47.3, which was lower than a Swedish reference population reporting 83.3. Individuals reporting being prescribed a drug for a psychiatric condition had significantly lower EQ-5D index values. Improvement in EQ-5D index score was significantly less for individuals reporting previous overdoses (-0.10, p=0.025). Individuals reporting previous suicide attempts had significantly lower EQ-5D VAS score at baseline. A significant increase of the EQ-5D VAS difference over time was found with a mean difference of 10.94 (p=0.008) for the total sample.

Conclusion

To our knowledge this is the first time HRQoL as an outcome is reported in a population transferred from a NEP to OAT. Our results indicate that OAT can result in increased HRQoL, even with this type of rapid low-threshold referral.

Pharmacological and Behavioral Treatment of Opioid Use Disorder

Objective:

Opioid use disorder (OUD) in the United States has surged, with an estimated 2.5 million needing treatment. The aim of this article is to provide a clinical overview of the key pharmacological and behavioral treatments for OUD.

Methods:

A nonsystematic review of the literature was conducted to investigate OUD treatments, including their mechanism of action, efficacy, clinical guidelines in the United States, and consideration of frequently occurring comorbid conditions.

Results:

Food and Drug Administration (FDA)–approved pharmacotherapies for OUD include methadone, buprenorphine, and naltrexone, each of which has different actions on opioid receptors. Although these medications all show efficacy in some dosages and formulations, barriers to accessibility may be most pronounced for methadone, whereas treatment retention poses greater challenges for naltrexone and, to a lesser extent, buprenorphine. Lofexidine, an α₂‐adrenergic agonist, has recently been approved by the FDA for treatment of opioid withdrawal symptoms. OUD is commonly treated with medication‐assisted treatment (MAT), which offers pharmacotherapy in the context of counseling and/or behavioral treatments. Behavioral therapies, rarely offered as stand‐alone treatments for OUD, are generally used in the context of MAT, in structured settings or to prevent relapse after detoxification and stabilization. The aim of behavioral interventions is to improve medication compliance and target problems not addressed with medication alone. Individuals with OUD commonly have other comorbid psychiatric and substance use conditions, which are not exclusionary for initiating MAT but should be carefully evaluated and monitored because they may reduce treatment effectiveness.

Conclusions:

MAT is the first‐line treatment for patients with OUD and should be provided in combination with behavioral interventions. Treatment retention remains challenging in this population. Future studies should focus on approaches that will serve the complex needs of patients with OUD, including those with comorbid psychiatric and substance use conditions.

Correlates of Long-Term Opioid Abstinence After Randomization to Methadone Versus Buprenorphine/Naloxone in a Multi-Site Trial

Opioid use disorder (OUD) is a chronic, relapsing condition with severe negative health consequences. Previous studies have reported that 5-year opioid abstinence is a good predictor of reduced likelihoods of relapse, but factors that shape long-term opioid abstinence are poorly understood. The present study is based on data from a prospective study of 699 adults with OUD who had been randomized to either methadone or buprenorphine/naloxone and who were followed for at least 5 years. During the 5 years prior to the participants' last follow-up interview, 232 (33.2%) had achieved 5-year abstinence from heroin. Of those 232, 145 (20.7% of the total) had remained abstinent from both heroin and other opioids (e.g., hydrocodone, oxycodone, other opioid analgesics, excluding methadone or buprenorphine). Compared to non-abstinent individuals, those in both categories of opioid abstinence had lower problem severity in health and social functioning at the final follow-up. Logistic regression results indicated that cocaine users and injection drug users were less likely to achieve 5-year heroin abstinence, whereas Hispanics (vs. whites) and those treated in clinics on the West Coast (vs. East) were less likely to achieve 5-year abstinence from heroin and other opioids. For both abstinence category groups, abstinence was positively associated with older age at first opioid use, lower impulsivity, longer duration of treatment for OUD, and greater social support. Reducing cocaine use and injection drug use and increasing social support and retention in treatment may help maintain long-term abstinence from opioids among individuals treated with agonist pharmacotherapy.

Barriers to progressing through a methadone maintenance treatment programme: perspectives of the clients in the Mid-West of Ireland's drug and alcohol services

Background

The ‘perfect’ journey through an Irish Methadone Maintenance Treatment Programme (MMTP) would have a client engage appropriately with all relevant services available to them, inclusive of psychiatry, counselling, out-reach support, nursing and psychology. Concurrently, a client would ideally adhere to their prescribed methadone-dosing regimen, until a client is stabilised allowing them to function optimally. At this point, a client should transfer to the GP community setting. Unfortunately, this fails to occur. To date, very few studies have specifically investigated the reasons why a cohort of clients remain ‘trapped’ in the high risk, specialist clinical setting.

Methods

Qualitative detailed semi-structured interviews were undertaken with 17 clients of one of Ireland’s Health Service Executive (HSE) Drug and Alcohol Services, entitled ‘HSE Mid-West Limerick Drug and Alcohol Service’. Each client had a severe Opioid Use Disorder (OUD) and clients had spent on average 7.5 years engaging with the MMTP.

Results

Participants’ life journey prior to an OUD included Adverse Childhood Experiences (ACEs) and early exposure to illicit drug use. Shared life events resulting in their initiating and sustaining an OUD involved continuous hardship into adulthood, mental illness and concurrent benzodiazepine use disorder, often resulting in harrowing accounts of participants’ loneliness and lack of life purpose. Their living environments, an erroneous understanding of their illness and poor communication with allied health professionals further perpetuated their OUD. Positive factors influencing periods of abstinence were familial incentives and a belief in the efficacy of methadone. Clients own suggestions for improving their journeys included employing a multi-sectorial approach to managing OUD and educating themselves and others on opioid agonist treatments. If clients were not progressing appropriately, they themselves suggested enforcing a ‘time-limit’ on clients to engage with the programme or indeed for their treatment to be postponed.

Conclusions

To optimise the functioning of the MMTP, three tasks need to be fulfilled: 1) Reduce the incidences of ACEs, 2) Diagnose and treat clients with a dual diagnosis 3) Educate clients, their families, the public and allied health care professionals on all aspects of OUD. A cross- departmental, inter-governmental approach is needed to address opioid misuse as a societal issue as a whole.

Impact of psychiatric medication co-exposure on Neonatal Abstinence Syndrome severity

BACKGROUND

Among opioid-exposed infants, psychiatric medication co-exposure is common. Our objective was to compare Neonatal Abstinence Syndrome (NAS) outcomes based on individual psychiatric medication co-exposures.

METHODS

A retrospective study of 744 opioid-exposed mother-infant dyads from a single institution was performed. Mothers on pharmacotherapy with methadone or buprenorphine at delivery were included. Data were collected on maternal demographics, psychiatric medication use, and NAS outcomes, including any medication treatment, adjunctive medication treatment, length of hospital stay (LOS), and opioid treatment days. The extent to which individual psychiatric medication and polypharmacy exposure were associated with NAS outcomes was assessed using multivariable regression.

RESULTS

Fifty-four percent of the mothers were on ≥1 psychiatric medication, with 32% on ≥2 or psychiatric medications (polypharmacy group). In adjusted models, polypharmacy exposure was associated with longer LOS (β = 4.31 days, 95% CI 2.55-6.06) and opioid treatment days (β = 3.98 days, 95% CI 2.24-5.72) and more treatment with adjunctive medication for NAS (aOR = 2.49, 95% CI 1.57-3.95). Benzodiazepines were associated with longer LOS (β = 4.94, 95% CI 2.86-7.03) and opioid treatment days (β = 4.86, 95% CI 2.61-6.75), and more adjunctive medication treatment (aOR = 2.57, 95% CI 1.49-4.42). Gabapentin was associated with longer LOS (β = 2.79, 95% CI 0.54-5.03), more NAS medication treatment (aOR = 2.96, 95% CI 1.18-7.42) including more adjunctive medications (aOR = 1.92, 95% CI 1.05-3.53).

CONCLUSION

For infants of mothers with OUD who are also on concurrent psychiatric medications, polypharmacy was associated with worse NAS severity. When medically indicated, limiting use of multiple psychiatric medications, particularly benzodiazepines and gabapentin, during pregnancy should be considered to improve NAS outcomes.

Psychiatric and Substance Use Comorbidity in Treatment-Seeking Injection Opioid Users Referred From Syringe Exchange

OBJECTIVE

The present study evaluated rates of co-occurring current psychiatric and substance use disorders in a sample of opioid-dependent treatment-seeking injection drug users referred from syringe exchange.

METHODS

Participants (N = 208) completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders (DSM) IV-R to assess current (within the past year) psychiatric and substance use disorders and the two most commonly diagnosed personality disorders (antisocial and borderline personality disorders).

RESULTS

Forty-eight percent of the sample had a current Axis I psychiatric disorder, and 67% had a co-occurring current substance use disorder. Posttraumatic stress disorder (21%), major depression (17%), and bipolar I (12%) were the most prevalent Axis I psychiatric disorders, and cocaine use disorder (53%) was the most commonly co-occurring substance use disorder. Women were more likely to have diagnoses of most anxiety disorders and less likely to have diagnoses of alcohol use disorder or antisocial personality disorder. The presence of a personality disorder was associated with higher rates of cocaine and sedative use disorder.

CONCLUSIONS

Findings suggest the importance of evaluating and treating co-occurring psychiatric and substance use disorders in the treatment of injection drug users with opioid dependence.