View clinical trials related to Opioid-use Disorder.
Filter by:This study aims to evaluate feasibility of a virtual reality software device and measure the effects of the intervention on OUD patient mood, tension and cravings, as well as the effect of treatment on patient retention to their inpatient detox protocol.
Our proposed evaluation study is designed to evaluate the impact of a recently completed stepped wedge cluster randomized trial, conducted at Kaiser Permanente Washington (KPWA), of an intervention to improve care and management of patients with drug use disorders (DUDs) in primary care (Aim 1). We will also explore the reasons for any apparent gaps in DUD care by analyzing clinicians' free-text encounter notes using manual chart review, natural language processing (NLP), and/or NLP-assisted manual chart review, as appropriate (Aim 2). Specific Project Aims are as follows: Aim 1 The primary research question we address in Aim 1 is whether routine screening for drug use disorders in primary care (PC) settings increases DUD treatment. We define DUDs as including opioid use disorders (OUD), cannabis use disorders (CUD), and other non-alcohol drug use disorders (OTH). Previously published analyses indicate that the 22 PC clinics in this trial sustained very high rates of screening (88%) and a 3-clinic DUD pilot study suggested that this screening resulted in increased diagnosis of CUD and increased treatment of DUDs in general, even at relatively low observed rates of PC-based screening and assessment. Aim 2 The overall goal of Aim 2 is to expand our understanding of gaps in DUD diagnosis and treatment that persist-despite implementation of high rates of PC screening and assessment for SUDs-using rich information available only in free-text chart notes. Through analysis of relevant chart notes Aim 2 of this project will descriptively characterize gaps in DUD diagnosis and DUD treatment (i.e., instances where information in a patient's record suggests a DUD could be diagnosed but no diagnosis is present, or a new diagnosis suggest treatment is indicated but no evidence of treatment is present), and characterize reasons for DUD care gaps.
This study will aim to investigate the gut microbiota in Egyptian patients with opioid use disorders and correlate microbiota bacterial abundance with clinical data.
This is a randomized, double-blind, sham-controlled, partial crossover study investigating LIFU targeting the NAc and VC for participants with severe, treatment refractory OUD.
The purpose of this study is to evaluate the safety and blood levels of a medicine, naltrexone, contained within an implant in healthy volunteers age 18 to 65 years. To do this, the implant containing the drug will be inserted under the skin, left in place for 3 months and then removed.
There is an urgent unmet medical need for a cost-effective, environmentally friendly, in-home opioid disposal solution for surgical patients that is clinically proven to reduce opioid use disorder that is substantiated with economic data. SafeMedWaste, Inc. (SMW) has developed the patented SafeMedWaste in-home drug disposal container, that completely destroys opioids within minutes and can be placed in the regular trash, without risk of ground or municipal water contamination. A pilot randomized clinical trial will evaluate the use of SafeMedWaste in 300 adult patients in outpatient surgery clinics undergoing shoulder and knee surgery.
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).