ClinicalTrials.gov
public full text
Public Domain
Autonomous Digital CBT Intervention for Opioid Use Disorder in Individuals With Co-Occurring Internalizing Disorders
The primary objective of this protocol is to implement the UG3 phase (Phase 1) of a National Institute on Drug Abuse (NIDA) UG3/UH3 grant (RFA-DA-23-049). This phase is dedicated to the pilot testing of NEAT-O, a digital Cognitive Behavioral Therapy (CBT) program tailored for individuals with opioid use disorder (OUD) and concurrent anxiety or mood disorders - collectively referred to as internalizing disorders (INTDs). NEAT-O is based on an empirically supported CBT framework, specifically modified to address the complexities of comorbidity in substance use disorders (SUDs). This pilot study will evaluate the usability and acceptability of NEAT-O in 15 participants with OUD, with the goal of refining the program\'s content and delivery methods. The results of the pilot study will inform a comprehensive RCT in the UH3 Phase (Phase 2) (N=300). Progression to the UH3 phase, with its funding, depends on meeting milestones in Phase 1 including demonstrating protocol adherence and the program\'s acceptability and usability.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Feasibility and Acceptability Study of the "O'Dide" Application in People Suffering From an Addiction#968665
- Repetitive Transcranial Magnetic Stimulation in Patients With Opioid Use Disorders#1137656
- Evaluating The Efficacy Of A Mind-Body Intervention In Overcoming Opioid Addiction#825788
- Cognitive-Behavioral Therapy and Escitalopram for Generalized Anxiety Disorder(GAD)#1231229
- DBT Compared to I/GDC for the Treatment of Opiate Addiction in Emotionally Dysregulated Patients. - 1#1007198
Record · ID 1497876
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive