View clinical trials related to Opioid-use Disorder.
Filter by:Evaluation of a mobile medical app (KIOS) vs. treatment as usual for the treatment of opioid use disorder (OUD).
The opioid crisis continues its devastating impact on Canada, with over 13,900 deaths recorded between 2016 and 2019. Dangerous prescription opioid usage persists, affecting 12.3% of Canadians in 2018. The crisis has escalated, particularly during the COVID-19 pandemic, resulting in increased mortality rates. While opioid agonist therapy (OAT) is a common treatment, it falls short in addressing concurrent polysubstance use, a prevalent issue in OAT clients. Recognizing the limitations of OAT alone, there is a growing recommendation to supplement it with psychosocial interventions. The PreVenture program, known for its efficacy in reducing substance use, has been adapted for OAT clients, termed "OpiVenture." This study aims to comprehensively assess OpiVenture's feasibility and limited efficacy within an OAT setting. Utilizing a mixed-methods approach, the study design integrates qualitative and quantitative data collection methods to thoroughly evaluate the program's feasibility and preliminary effectiveness. The focus extends beyond immediate outcomes, encompassing the preparation for future randomized controlled trials, including considerations for sample size calculation and recruitment effectiveness. This research addresses the urgent need for more comprehensive interventions to mitigate opioid use disorder (OUD) and associated morbidity, offering a potential solution to improve OAT retention and reduce mortality rates.
Addiction is the repeated and increased use of a substance, the deprivation of which gives rise to symptoms of distress and an irresistible urge to use the agent again and which leads also to physical and mental deterioration. The concept of emotional intelligent (EI) "the ability to perceive accurately, appraise and express emotion; the ability to access and generate feelings when they facilitate thought; the ability to understand emotion and emotional knowledge; and the ability to regulate emotions to promote emotional and intellectual growth". Most drug addicts possess hidden defects in their social skills, and do not have good relations with their peers.
This project aims to collect a densely sampled neuroimaging dataset among individuals receiving medications for opioid use disorder (MOUD). MOUD is multiphasic, comprised of medication induction, stabilization, ongoing treatment, and eventual dis-continuation phases. However, with a few small exceptions, existing neuroimaging efforts are almost exclusively single time-point assessments which, by definition, fail to capture these clinically relevant transitions and thus also do not capture individual risk and resilience trajectories. The investigators innovation, the characterization of neurocomputational trajectories during clinically relevant phases of MOUD treatment, will provide unprecedented mechanistic insight into the neurobiological basis of recovery. Once characterized, such trajectories may be used in the identification of specific therapeutic windows for additional intervention (e.g., times of increased neural plasticity) and in the design of novel tailored interventions based on known brain mechanisms (e.g., behavioral therapy, neurostimulation, neurofeedback).
The long-term goal of the project is to determine whether cannabidiol (CBD) can reduce craving and relapse in individuals with opioid use disorder (OUD). The first phase of our project was an open cross-over design study in healthy individuals to confirm the safety and pharmacokinetic (PK) effects of CBD. This next phase is to determine whether CBD can serve as a potential adjunct treatment to reduce craving and anxiety in individuals with OUD maintained on opioid agonist therapy.
Opioid addiction, which affects 16 million individuals worldwide, can be treated using methadone, a proven and effective opioid medication for treating OUD that extends retention in care, reduces mortality, and inhibits illicit drug use. However, methadone treatment is limited to federally certified Opioid Treatment Programs (OTPs), which must meet complex regulatory requirements, and require new patients to take their dose in person six days per week, presenting significant barriers to treatment. To address these barriers, Sonara Heath has developed the Sonara software platform, which will enable OTPs to offer accelerated take-home methadone regimens while maintaining safety and diversion prevention.
The investigators will implement a non-randomized observational clinical trial that will include a pop-up clinic for women who inject drugs (WWID) near venues for exchange sex and drug use in north Seattle. The pop-up clinic will be housed within a van and serve as a research extension of the SHE Clinic, a Harborview Medical Center run clinic for women who exchange sex and use drugs in north Seattle. Through the implementation of the pop-up clinic, the investigators will aim to assess: 1. The impact of the pop-up clinic on uptake and sustained use of HIV pre-exposure prophylaxis (PrEP) and medications for opioid use disorder (MOUD) among WWID. 2. The impact of point of care (POC) sexually transmitted infection (STI) testing on STI treatment completion rates. 3. The acceptability and feasibility of providing HIV prevention care for WWID and exchange sex in a pop-up van clinic.
This study will examine the synaptotrophic effects of psilocybin among medically healthy, detoxified OUD subjects. Eligible OUD participants will undergo pre- and post- psilocybin administration PET scans with the [11C]-UCB-J radiotracer while inpatient.
This study is to develop and test a medical health application based on cognitive behavioral therapy for insomnia and augmented with other evidence-based sleep interventions that address common sleep-related problems in opioid use disorder. An initial program will be built utilizing input from persons beginning medications for opioid use disorders.
The 5-year K01 Mentored Research Scientist proposal will employ brain, neurocognitive, and computational tools (e.g., machine learning) to understand the impact of opioid-use disorder (OUD) and common co-occurring issues on executive function and clinical outcomes. There have been record numbers of fatal and non-fatal overdoses (ODs) associated with opioids (and other drugs) in the past 12-months. Improving classification and predictive capabilities to enhance treatment and prevent relapse is of the upmost importance. Deficits in neurocognition often are associated with poor treatment outcomes (e.g., more drug use, medication non-adherence), yet co-occurring issues associated with OUD (e.g., depression, anxiety, physical/sexual abuse, neglect) make it difficult to parse which contributing factors lead to worse executive function (EF) and poorer treatment outcomes. Novel brain, neurocognitive, and computational tools are needed to help determine these differences, in order to lay the foundation for better treatments. This need has shaped both the training plan and the associated research project in a 5-year K01 Mentored Research Scientist proposal, building on Dr. Regier's prior preclinical and clinical addiction neuroscience experience (focused mostly on cocaine-use disorders, cue-reactivity, subcortical networks, prior adversity, and univariate imaging techniques).