Patient Engagement With a Game-Based Digital Therapeutic for the Treatment of Opioid Use Disorder: Protocol for a Randomized Controlled Open-Label, Decentralized Trial.

BACKGROUND: Prescription digital therapeutics are software-based disease treatments that are regulated by the US Food and Drug Administration; the reSET-O prescription digital therapeutic was authorized in 2018 and delivers behavioral treatment for individuals receiving buprenorphine for opioid use disorder. Although reSET-O improves outcomes for individuals with opioid use disorder, most of the therapeutic content is delivered as narrative text. PEAR-008 is an investigational device based on reSET-O that uses an interactive, game-based platform to deliver similar therapeutic content designed to enhance patient engagement, which may further improve treatment outcomes. OBJECTIVE: We aim to investigate how participants interact with the prescription digital therapeutic's new content delivery format. Secondary objectives include evaluating treatment success, symptoms of co-occurring mental health disorders, recovery capital, and skill development. METHODS: Due to the COVID-19 pandemic, this study was redesigned using a decentralized model because it was not possible to conduct medication initiation and study visits in person, as initially intended. A decentralized, randomized controlled trial design will be utilized to compare patient engagement with PEAR-008 and that with reSET-O using both subjective and objective assessments. The study population will consist of approximately 130 individuals with opioid use disorder (based on Diagnostic and Statistical Manual of Mental Disorders 5 criteria) who have recently started buprenorphine treatment for opioid use disorder. Participants will be virtually recruited and randomly assigned to receive either PEAR-008 or reSET-O. All study sessions will be virtual, and the duration of the study is 12 weeks. The primary outcome measure of engagement is operationalized as the number of active sessions per week with either PEAR-008 or reSET-O. (An active session is any session that contains some active participation in the app, such as navigating to a different screen, engaging with a learning module, or responding to a notification.) Subjective dimensions of engagement will be assessed with participant surveys. The hypothesis is that PEAR-008 will have significantly greater participant engagement than reSET-O. RESULTS: As of February 2021, participant enrollment is ongoing. CONCLUSIONS: This randomized controlled trial will investigate if changing the delivery format and enhancing the content of a prescription digital therapeutic for opioid use disorder will affect how participants use and interact with the prescription digital therapeutic. The study design may serve as a useful model for conducting decentralized studies in this patient population. TRIAL REGISTRATION: ClinicalTrials.gov NCT04542642; https://clinicaltrials.gov/ct2/show/NCT04542642. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/32759.

Real-world evidence for a prescription digital therapeutic to treat opioid use disorder.

OBJECTIVES: To evaluate patient engagement and usage of a prescription digital therapeutic (PDT) and associated outcomes of opioid use and treatment retention in a large real-world dataset of patients with opioid use disorder (OUD) treated with buprenorphine medication for opioid use disorder (MOUD). PDTs are software-based disease treatments evaluated for safety and effectiveness in randomized clinical trials (RCTs), and authorized by the U.S. Food and Drug Administration (FDA) to treat disease with approved directions for use (label). METHODS: A real-world observational evaluation of an all-comer population of patients who redeemed a 12-week prescription for the reSET-O PDT. Engagement and therapeutic use data were collected and analysed on a population level. Substance use was evaluated as a composite of self-reports recorded with reSET-O and urine drug screens (UDS). RESULTS: Data from 3144 individuals with OUD were evaluated. 45.5% were between ages 30 and 39 years. 80% completed at least 8 of the 67 possible therapeutic modules, 66% completed half of all modules, and 49% completed all modules. Abstinence during the last 4 weeks of treatment was calculated with two imputation methodologies: 66% abstinent using "missing data excluded (patients with no data as positive)", and 91% abstinent with "missing data removed (patients with no data excluded)". 91% of patients met the responder definition of ≥80% of self-report or UDS negative. 74.2% of patients were retained through the last 4 weeks of treatment. Subgroup analysis of patients using reSET-O appropriately (4 or more modules per week for the first 4 weeks) showed 88.1% abstinence using "missing data excluded (patients with no data as positive)", and retention at weeks 9-12 of 85.8%. CONCLUSIONS: Results demonstrate that reSET-O is readily and broadly used by patients with OUD and that high real-world engagement with the therapeutic is positively associated with abstinence and retention in treatment. ReSET-O is a potentially valuable adjunct to buprenorphine MOUD therapy for patients with OUD.

Population Pharmacokinetics of High-Dose Oxazepam in Alcohol-Dependent Patients: Is There a Risk of Accumulation?

BACKGROUND: According to the guidelines, benzodiazepines with a short half-life are the reference medication to treat alcohol withdrawal syndrome. The doses of oxazepam used in this population may reach up to 300 mg per day, significantly higher than usual doses. Its use in these patients deserves further information to confirm that the half-life remains constant and that no accumulation appears. The objective of this study was to investigate the pharmacokinetics of high doses of oxazepam in alcohol-dependent patients treated for alcohol withdrawal syndrome. METHODS: Overall, 63 outpatients [weight, 71.1 kg (45.0-118.0); age, 47.6 years (31-67)] followed in the addictology unit, were studied. Total mean dose of 96.0 mg per day (range, 20-300 mg/d) was administered by oral route. Therapeutic drug monitoring allowed the measurement of 96 plasma concentrations. The following covariates were evaluated: demographic data (age, body weight, height, gender) and biological data (creatinine, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, gamma-glutamyl transferase). Pharmacokinetic analysis was performed using a nonlinear mixed-effect population model. RESULTS: Data were modeled with a 1-compartment pharmacokinetic model. The population typical mean 90% confidence interval values for clearance, apparent volume of distribution (V), and duration of absorption (D1) were 6.8 L/h (range, 3.9-8.0 L/h), 159 L (range, 98.0-282 L), and 2 hours (fixed), respectively. The interindividual variability of clearance and V, and residual variability (90% confidence interval) were 74% (44%-96%), 69% (40%-89%), and 32% (20%-41%), respectively. The elimination half-life was 16 hours (range, 3-42 hours). CONCLUSIONS: Oxazepam exhibited a linear pharmacokinetics with a proportional relationship from 20 to 300 mg per day, the dose range currently used in alcohol-dependent patients treated for alcohol withdrawal syndrome. We did not find any evidence of drug accumulation with these doses.

Anticraving Effect of Baclofen in Alcohol-Dependent Patients.

BACKGROUND: Baclofen is a GABA-B receptor agonist currently used in the treatment of spasticity. In recent years, baclofen has been used to reduce craving, voluntary alcohol intake and withdrawal syndrome of alcoholic patients. To date, there are no data available to estimate the relationship between baclofen exposure and the variation of craving. The first objective of this study was to investigate the variation of craving as a function of exposure, and the second was to explore the possible existence of baclofen responders and nonresponders. METHODS: Sixty-seven outpatients, 43 men/24 women (weight: 73 kg [42 to 128]; age: 49 years old [29 to 68]) followed in the addictology unit, were studied during 3 months after treatment initiation. Baclofen was administered by oral route. Therapeutic drug monitoring enabled the measurement of plasma concentrations. Craving level was assessed by the Obsessive-Compulsive Drinking Scale (OCDS). A population pharmacokinetic (PK)-pharmacodynamic analysis of the OCDS variation following baclofen administration was performed. Demographic data, biological data, and tobacco consumption were tested for their influence on the parameters. RESULTS: Data were modeled with a 1-compartment model with first-order absorption and elimination. PK analysis confirms the results of our previous study. An Emax model best-described the exposure-OCDS relationship. None of the covariates tested was able to improve the fit or decrease intersubject variability. However, 2 subpopulations were defined for the exposure corresponding to half the maximal effect (BE50). The proportion of patients being classified as responders was 38% (95% confidence interval [CI] 7 to 76), the maximal decrease in OCDS (Emax ) was 72% (95% CI 25 to 85), and the BE50 was 12.6 (95% CI 0.02 to 74.3) or 4,390 (95% CI 20.4 to 31,800) h mg/l for responders and nonresponders, respectively. CONCLUSIONS: We defined the relationship between baclofen exposure and craving in patients with alcohol use disorder. Baclofen treatment decreased craving in all patients. However, we drew up the hypothesis of 2 subpopulations of patients differentiated by their speed of response. A wide interindividual variability in response was depicted, making it currently impossible to predict which group a patient will belong to.

Baclofen in the management of cannabis dependence syndrome.

Cannabis is the most commonly used illicit drug in the world. However, only few studies have shown the efficacy of pharmacologic agents in targeting cannabis withdrawal symptoms or reducing the reinforcing effects of cannabis. Baclofen has been shown to reduce cannabis withdrawal symptoms and the subjective effects of cannabis. We think that the clinical utility of baclofen for cannabis dependence is a reasonable approach. A case report using baclofen is presented and provides preliminary support for the use of baclofen in the management of cannabis dependence.

High variability in the exposure of baclofen in alcohol-dependent patients.

BACKGROUND: Baclofen is a GABA-B receptor agonist used in the treatment of spasticity. Recently, baclofen is used out of its label to decrease craving of alcoholic patients. Its optimal use in these patients requires further pharmacokinetic information. The objective of this study was to characterize the pharmacokinetics of baclofen in alcohol-dependent patients. Randomized clinical trials are ongoing to evaluate the efficacy for this new indication. METHODS: Thirty-seven outpatients (weight: 74.0 kg [42.0 to 104.0]; age: 49 years [31 to 68]) followed in the addictology unit were studied. Total mean dose of 77.9 mg (30 to 240) per day was administered by oral route. Therapeutic drug monitoring allowed the measurement of 139 plasma concentrations. The following covariates were evaluated: demographic data (age, body weight, height, sex), biological data (creatinine, urea, AST, ALT, albumin, PR, VGM, PAL, CDT, GGT), and tobacco consumption (number of cigarettes and Fagerstrom test). Pharmacokinetic analysis was performed by using a nonlinear mixed-effect population model (NONMEM 7.2 software). RESULTS: Data were modeled with a 1-compartment pharmacokinetic model. The population typical mean (95% confidence interval [95% CI]) values for clearance (CL), apparent volume of distribution (V), and rate constant of absorption (Ka) were 9.9 l/h (9.0 to 11.1), 80.7 l (63.6 to 96.9), and 4.6/h (1.5 to 19.9), respectively. The interindividual variability of CL (95% CI) and V (95% CI), and residual variability (95% CI) were 56.0% (47.9 to 60.7), 68.3% (48.7 to 80.1), and 0.096 mg/l (0.079 to 0.107), respectively. CONCLUSIONS: Baclofen exhibited a linear pharmacokinetics with a proportional relationship from 30 to 240 mg per day, the dose range currently used in alcoholic patients. A wide interpatient variability was observed which could not be explained by the covariates. This high variation of baclofen exposure may explain the lack of response observed for some patients.