A Prospective Study to Investigate Predictors of Relapse among Patients with Opioid Use Disorder Treated with Methadone.
Ontology highlight
ABSTRACT: Introduction
Concomitant opioid abuse is a serious problem among patients receiving methadone maintenance treatment (MMT) for opioid use disorder. This is an exploratory study that aims to identify predictors of the length of time a patient receiving MMT for opioid use disorder remains abstinent (relapse-free).Methods
Data were collected from 250 MMT patients enrolled in addiction treatment clinics across Southern Ontario. The impact of certain clinical and socio-demographic factors on the outcome (time until opioid relapse) was determined using a Cox proportional hazard model.Results
History of injecting drug use behavior (hazard ratio (HR): 2.26, P = 0.042), illicit benzodiazepine consumption (HR: 1.07, P = 0.002), and the age of onset of opioid abuse (HR: 1.10, P < 0.0001) are important indicators of accelerated relapse among MMT patients. Conversely, current age is positively associated with duration of abstinence from illicit opioid use, serving as a protective factor against relapse (HR: 0.93, P = 0.003).Conclusion
This study helps to identify patients at increased risk of relapse during MMT, allowing health care providers to target more aggressive adjunct therapies toward high-risk patients.
SUBMITTER: Naji L
PROVIDER: S-EPMC4827793 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Publications
A Prospective Study to Investigate Predictors of Relapse among Patients with Opioid Use Disorder Treated with Methadone.
Naji Leen L Dennis Brittany B BB Bawor Monica M Plater Carolyn C Pare Guillaume G Worster Andrew A Varenbut Michael M Daiter Jeff J Marsh David C DC Desai Dipika D Thabane Lehana L Samaan Zainab Z
Substance abuse : research and treatment 20160410
<h4>Introduction</h4>Concomitant opioid abuse is a serious problem among patients receiving methadone maintenance treatment (MMT) for opioid use disorder. This is an exploratory study that aims to identify predictors of the length of time a patient receiving MMT for opioid use disorder remains abstinent (relapse-free).<h4>Methods</h4>Data were collected from 250 MMT patients enrolled in addiction treatment clinics across Southern Ontario. The impact of certain clinical and socio-demographic fact ...[more]
Similar Datasets
Project description:BackgroundMany patients in methadone treatment have difficulty achieving or maintaining drug abstinence, and many clinics have policies that lead to discharging these patients. We designed a pilot "Second Chance" (SC) program for patients scheduled to be discharged from other local methadone clinics to be transferred to our clinic.AimDetermine whether SC patients' retention and opioid use is related to physical or mental health conditions, non-opioid substance use, or treatment features.MethodsFrom December 2012 to December 2014, this program enrolled 70 patients who were discharged from other clinics in the area; we were their last remaining option for methadone treatment. Unlike the clinic's standard policies, the treatment focus for SC patients was retention rather than abstinence. This program focused on connection to care (eg, psychiatric services) and enabled patients to continue receiving services despite ongoing substance use. Each patient was assessed at treatment entry and followed until June 2016 to evaluate outcomes.ResultsSC patients receiving disability benefits (n = 37) vs. non-disabled (n = 33) had significantly (P < .05) higher rates of current DSM-IV Axis I psychiatric diagnosis (97% vs 70%), prescriptions for opioids (84% vs 55%) and benzodiazepines (65% vs 27%), and higher methadone doses at admission (58 vs 46 mg) but did not differ significantly in rates of 6-month or 1-year retention (77% and 56%, respectively) or all-drug use (39% positive urine drug screens). Methadone doses >65 mg predicted significantly longer retention and less opioid use, but these effects were not moderated by baseline characteristics.ConclusionsPatients in methadone treatment struggling to achieve abstinence may benefit from retention-oriented harm-reduction programs. Higher methadone doses can improve retention and opioid abstinence despite psychiatric comorbidities. Further work is needed to improve program implementation and outcomes in this complex population.
| S-EPMC9669697 | biostudies-literature
Project description:IntroductionWhile polysubstance use has consistently been associated with higher rates of relapse, few studies have examined subgroups with specific combinations and time course of polysubstance use (i.e., polysubstance use patterns). This study aimed to classify and compare polysubstance use patterns, and their associations with relapse to regular opioid use in 2637 participants in three large opioid use disorder (OUD) treatment trials.MethodsWe explored the daily patterns of self-reported substance use in the 28 days prior to treatment entry. Market basket analysis (MBA) and repeated measure latent class analysis (RMLCA) were used to examine the subgroups of polysubstance use patterns, and multiple logistic regression was used to examine associations between identified classes and relapse.ResultsMBA and RMLCA identified 34 "associations rules " and 6 classes, respectively. Specific combinations of polysubstance use and time course (high baseline use and rapid decrease of use prior to initiation) predicts a worse relapse outcome. MBA showed individuals who co-used cocaine, heroin, prescription opioids, and cannabis had a higher risk for relapse (OR = 2.82, 95%CI = 1.13, 7.03). In RMLCA, higher risk of relapse was observed in individuals who presented with high baseline prescription opioid (OR = 1.9, 95% CI = 1.3, 2.76) or heroin use (OR = 3.54, 95%CI = 1.86, 6.72), although use decreased in both cases prior to treatment initiation.ConclusionsOur analyses identified subgroups with distinct patterns of polysubstance use. Different patterns of polysubstance use differentially predict relapse outcomes. Interventions tailored to these individuals with specific polysubstance use patterns prior to treatment initiation may increase the effectiveness of relapse prevention.
| S-EPMC9838120 | biostudies-literature
Project description:ImportanceNecrotizing enterocolitis (NEC) requiring surgical intervention is the most common reason for surgical procedures in preterm neonates. Opioids are used to manage postoperative pain, with some infants requiring methadone to treat physiologic opioid dependence or wean from nonmethadone opioid treatment during recovery.ObjectiveTo describe postoperative opioid use and methadone treatment for infants with surgically treated NEC and evaluate postoperative outcomes.Design, setting, and participantsA cohort study of infants with surgically treated NEC admitted from January 1, 2013, to December 31, 2022, to 48 Children's Hospital Association hospitals contributing data to the Pediatric Health Information System (PHIS) was performed. Infants who received methadone preoperatively, were aged 14 days or less at the time of the operation, had a congenital heart disease-related operation, or died within 90 days of the operation were excluded. Mixed-effects multivariable logistic regression was used to evaluate thresholds for duration of opioid use after the operation associated with methadone treatment and clinical outcomes associated with methadone use were enumerated.ExposurePostoperative administration of nonmethadone opioids.Main outcomes and measuresMethadone use and postoperative length of stay, ventilator days, and total parenteral nutrition (TPN) days.ResultsOf the 2037 infants with surgically treated NEC identified, the median birth weight was 920 (IQR, 700.0-1479.5) g; 1204 were male (59.1%), 911 were White (44.7%), and 343 were Hispanic (16.8%). Infants received nonmethadone opioids for a median of 15 (IQR, 6-30) days after the operation and 231 received methadone (11.3%). The median first day of methadone use was postoperative day 18 (IQR, days 9-64) and continued for 28 days (IQR, 14-73). Compared with infants who received nonmethadone opioids for 1 to 5 days, infants receiving 16 to 21 days of opioids were most likely to receive methadone treatment (odds ratio, 11.45; 95% CI, 6.31-20.77). Methadone use was associated with 21.41 (95% CI, 10.81-32.02) more days of postoperative length of stay, 10.80 (95% CI, 3.63-17.98) more ventilator days, and 16.21 (95% CI, 6.34-26.10) more TPN days.Conclusions and relevanceIn this cohort study of infants with surgically treated NEC, prolonged use of nonmethadone opioids after the operation was associated with an increased likelihood of methadone treatment and increased postoperative length of stay, ventilation, and TPN use. Optimizing postoperative pain management for infants requiring an operation may decrease the need for methadone treatment and improve health care use.
| S-EPMC10288332 | biostudies-literature
Project description:BackgroundLong-term treatment with medications for opioid use disorder (OUD), including methadone, is lifesaving. There has been little examination of how to measure methadone continuity in claims data.ObjectivesTo develop an approach for measuring methadone continuity in claims data, and compare estimates of methadone versus buprenorphine continuity.Research designObservational cohort study using de-identified commercial claims from OptumLabs Data Warehouse (January 1, 2017-June 30, 2021).SubjectsIndividuals diagnosed with OUD, ≥1 methadone or buprenorphine claim and ≥180 days continuous enrollment (N=29,633).MeasuresOUD medication continuity: months with any use, days of continuous use, and proportion of days covered.Results5.4% (N=1607) of the study cohort had any methadone use. Ninety-seven percent of methadone claims (N=160,537) were from procedure codes specifically used in opioid treatment programs. Place of service and primary diagnosis codes indicated that several methadone procedure codes were not used in outpatient OUD care. Methadone billing patterns indicated that estimating days-supply based solely on dates of service and/or procedure codes would yield inaccurate continuity results and that an approach incorporating the time between service dates was more appropriate. Among those using methadone, mean [s.d.] months with any use, days of continuous use, and proportion of days covered were 4.8 [1.8] months, 79.7 [73.4] days, and 0.64 [0.36]. For buprenorphine, the corresponding continuity estimates were 4.6 [1.9], 80.7 [70.0], and 0.73 [0.35].ConclusionsEstimating methadone continuity in claims data requires a different approach than that for medications largely delivered by prescription fills, highlighting the importance of consistency and transparency in measuring methadone continuity across studies.
| S-EPMC10377507 | biostudies-literature
Project description:BackgroundThe postpartum year is a vulnerable period for women with opioid use disorder, with increased rates of fatal and nonfatal overdose; however, data on the continuation of medications for opioid use disorder on a population level are limited.ObjectiveThis study aimed to examine the effect of discontinuing methadone and buprenorphine in women with opioid use disorder in the year following delivery and determine the extent to which maternal and infant characteristics are associated with time to discontinuation of medications for opioid use disorder.Study designThis population-based retrospective cohort study used linked administrative data of 211,096 deliveries in Massachusetts between 2011 and 2014 to examine the adherence to medications for opioid use disorder. Individuals receiving medications for opioid use disorder after delivery were included in the study. Here, demographic, psychosocial, prenatal, and delivery characteristics are described. Kaplan-Meier survival analysis and Cox regression modeling were used to examine factors associated with medication discontinuation.ResultsA total of 2314 women who received medications for opioid use disorder at delivery were included in our study. Overall, 1484 women (64.1%) continued receiving medications for opioid use disorder for a full 12 months following delivery. The rate of continued medication use varied from 34% if women started on medications for opioid use disorder the month before delivery to 80% if the medications were used throughout pregnancy. Kaplan-Meier survival curves differed by maternal race and ethnicity (the 12-month continuation probability was .65 for White non-Hispanic women and .51 for non-White women; P<.001) and duration of use of prenatal medications for opioid use disorder (12-month continuation probability was .78 for women with full prenatal engagement and .60 and .44 for those receiving medications for opioid use disorder ≥5 months [but not throughout pregnancy] and ≤4 months prenatally, respectively; P<.001). In all multivariable models, duration of receipt of prenatal medications for opioid use disorder (≤4 months vs throughout pregnancy: adjusted hazard ratio, 3.26; 95% confidence interval, 2.72-3.91) and incarceration (incarceration during pregnancy or after delivery vs none: adjusted hazard ratio, 1.79; 95% confidence interval, 1.52-2.12) were most strongly associated with the discontinuation of medications for opioid use disorder.ConclusionAlmost two-thirds of women with opioid use disorder continued using medications for opioid use disorder for a full year after delivery; however, the rates of medication continuation varied significantly by race and ethnicity, degree of use of prenatal medications for opioid use disorder, and incarceration status. Prioritizing medication continuation across the perinatal continuum, enhancing sex-specific and family-friendly recovery supports, and expanding access to medications for opioid use disorder despite being incarcerated can help improve postpartum medication adherence.
| S-EPMC8492487 | biostudies-literature
Project description: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.
| S-EPMC6854359 | biostudies-literature
Project description:BackgroundSocial relationships may serve as both protective factors and risk factors for opioid use (nonmedical prescription opioid or illicit opioid use) among patients receiving methadone for opioid use disorder (OUD). Yet little is known about how relationship quality is linked to outcomes among couples receiving methadone. We evaluated the links between relationship quality and risk of opioid use among couples in which both partners received methadone.MethodsParticipants included 53 heterosexual married or cohabiting couples aged 18 and older who were drawn from two opioid treatment programs in Rhode Island and Massachusetts. Both members of the couple completed a self-administered survey assessing their sociodemographic information, relationship and treatment characteristics, and risk of opioid use.ResultsRoughly half of women (47.2%) and men (52.8%) had a moderate to high risk of nonmedical prescription opioid use and almost two-thirds (64.2%) had a moderate to high risk of street opioid use. Risk of street opioid use was highly correlated within couples. Actor-partner interdependence models revealed that when women reported higher positive relationship quality, they had a lower risk of nonmedical prescription opioid use and their partners had a lower risk of street opioid use. Negative relationship quality was not significantly linked to risk of opioid use.ConclusionsCouples in which both partners receive methadone for OUD may be at risk of return to use, and positive partner relationships may play a role in lowering this risk. Women's perceptions of relationship quality might be a particularly important target for clinical care and interventions.
| S-EPMC8115745 | biostudies-literature
Project description:The heritability of opioid use disorder has been widely investigated; however, the influence of specific genes on methadone treatment outcomes is not well understood. The association between response to methadone treatment and genes that are involved in substance use behaviors and reward mechanisms is poorly understood, despite evidence suggesting their contribution to opioid use disorder. The aim of this study was to investigate the effect of brain-derived neurotrophic factor (BDNF) and dopamine receptor D2 (DRD2) polymorphisms on continued opioid use among patients on methadone treatment for opioid use disorder.BDNF 196G>A (rs6265) and DRD2-241A>G (rs1799978) genetic variants were examined in patients with opioid use disorder who were recruited from methadone treatment clinics across Southern Ontario, Canada. We collected demographic information, substance use history, blood for genetic analysis, and urine to measure opioid use. We used regression analysis to examine the association between continued opioid use and genetic variants, adjusting for age, sex, ethnicity, methadone dose, duration in treatment, and number of urine screens.Among 240 patients treated with methadone for opioid use disorder, 36.3 percent (n = 87) and 11.3 percent (n = 27) had at least one risk allele for rs6265 and rs1799978, respectively. These genetic variants were not significantly associated with continued opioid use while on methadone maintenance treatment [rs6265: odds ratio (OR) = 1.37, 95 % confidence interval (CI) = 0.792, 2.371, p = 0.264; rs1799978: OR 1.27, 95 % CI 0.511, 3.182, p = 0.603].Despite an association of BDNF rs6265 and DRD2 rs1799978 with addictive behaviors, these variants were not associated with continued illicit opioid use in patients treated with methadone. Problematic use of opioids throughout treatment with methadone may be attributed to nongenetic factors or a polygenic effect requiring further exploration. Additional research should focus on investigating these findings in larger samples and different populations.
| S-EPMC4672523 | biostudies-literature
Project description:ObjectiveOpioid use disorder (OUD) is a chronic relapsing disorder with a problematic pattern of opioid use, affecting nearly 27 million people worldwide. Machine learning (ML)-based prediction of OUD may lead to early detection and intervention. However, most ML prediction studies were not based on representative data sources and prospective validations, limiting their potential to predict future new cases. In the current study, we aimed to develop and prospectively validate an ML model that could predict individual OUD cases based on representative large-scale health data.MethodWe present an ensemble machine-learning model trained on a cross-linked Canadian administrative health data set from 2014 to 2018 (n = 699,164), with validation of model-predicted OUD cases on a hold-out sample from 2014 to 2018 (n = 174,791) and prospective prediction of OUD cases on a non-overlapping sample from 2019 (n = 316,039). We used administrative records of OUD diagnosis for each subject based on International Classification of Diseases (ICD) codes.ResultsWith 6409 OUD cases in 2019 (mean [SD], 45.34 [14.28], 3400 males), our model prospectively predicted OUD cases at a high accuracy (balanced accuracy, 86%, sensitivity, 93%; specificity 79%). In accord with prior findings, the top risk factors for OUD in this model were opioid use indicators and a history of other substance use disorders.ConclusionOur study presents an individualized prospective prediction of OUD cases by applying ML to large administrative health datasets. Such prospective predictions based on ML would be essential for potential future clinical applications in the early detection of OUD.
| S-EPMC9720482 | biostudies-literature
Project description:ObjectiveTo assess the efficacy of slow release oral morphine (SROM) as a treatment for opioid use disorder (OUD).DesignSystematic review and meta-analysis of randomised controlled trials (RCTs).Data sourcesThree electronic databases were searched through 1 May 2018: the Cochrane Central Register of Controlled Trials, MEDLINE and EMBASE. We also searched the following electronic registers for ongoing trials: ClinicalTrials.gov, WHO International Clinical Trials Registry Platform, Current Controlled Trials and the EU Clinical Trials Register.Eligibility criteria for selecting studiesWe included RCTs of all durations, assessing the effect of SROM on measures of treatment retention, heroin use and craving in adults who met the diagnostic criteria for OUD.Data extraction and synthesisTwo independent reviewers extracted data and assessed risk of bias. Data were pooled using the random-effects model and expressed as risk ratios (RRs) or mean differences with 95% CIs. Heterogeneity was assessed (χ2 statistic) and quantified (I2 statistic) and a sensitivity analysis was undertaken to assess the impact of particular high-risk trials.ResultsAmong 1315 records screened and four studies reviewed, four unique randomised trials met the inclusion criteria (n=471), and compared SROM with methadone. In the meta-analysis, we observed no significant differences between SROM and methadone in improving treatment retention (RR=0.98; 95%CI: 0.94 to 1.02, p=0.34) and heroin use (RR=0.96; 95% CI: 0.61 to 1.52, p=0.86). Craving data was not amenable to meta-analysis. Available data implied no differences in adverse events, heroin, cocaine or benzodiazepine use.ConclusionsMeta-analysis of existing randomised trials suggests SROM may be generally equal to methadone in retaining patients in treatment and reducing heroin use while potentially resulting in less craving. The methodological quality of the included RCTs was low-to-moderate.
| S-EPMC6500187 | biostudies-literature