NCT07673380 uMAT-R + enhanced community engagement Opioid abuse Clinical Landscape Report 2026: Design, Endpoints, Sponsor and Readout Outlook

Turn a newly registered trial into a decision-ready landscape. This focused report examines NCT07673380—Leveraging mHealth to Promote Opioid Use Recovery and Mental Health Among Residents of a Medium-Sized Midwestern City—using PatSnap Clinical Trials MCP for protocol design and endpoint evidence, Drug & Asset MCP for mechanism and development context, and Company & Deal Intelligence MCP for sponsor background. Explore PatSnap MCP Servers to reproduce the workflow inside an AI research process.

MCP evidence snapshot: 20 July 2026; publication date: 20 July 2026. Trial records can change after the snapshot and should be rechecked before operational decisions.

Why NCT07673380 is a hot trial to watch

Opioid abuse is increasingly segmented by mechanism, biomarker, treatment setting, geography and endpoint architecture. NCT07673380 is notable because it evaluates uMAT-R + enhanced community engagement in a Phase 2 design while Frequency of opioid use, stimulant, and/or other substance use (e.g., discordant with prescribed usage) or other substances (e.g., stimulants, other non-opioid illicit drugs) in the past 30-day will be assessed by items from the National Survey on Drug Use and Health (NSDUH) questionnaire. The score indicates days on using any substance listed above over past 30-day, ranging from 0 to 30, with a higher score reflecting more frequent substance use. serves as the main decision variable. The critical question is whether the protocol can convert its rationale into a clinically interpretable and operationally credible readout.

PatSnap Clinical Trials MCP makes protocol fields machine-readable, while the companion asset and organization servers add development-status, target and sponsor context.

Trial landscape snapshot

Design and endpoint interpretation

The phase label is only the starting point. Allocation is Non-Randomized, masking is None (Open Label), and the intervention model is Sequential Assignment. Planned enrollment of 300 participants across United States shapes statistical precision, execution risk and external validity. Interpretation should account for baseline risk, prior therapy, assessment schedule, missing-data handling and clinical relevance—not only statistical significance.

• Primary: Frequency of opioid use, stimulant, and/or other substance use (e.g., discordant with prescribed usage) or other substances (e.g., stimulants, other non-opioid illicit drugs) in the past 30-day will be assessed by items from the National Survey on Drug Use and Health (NSDUH) questionnaire. The score indicates days on using any substance listed above over past 30-day, ranging from 0 to 30, with a higher score reflecting more frequent substance use. (Time 0 (Baseline) and Time 1 (One Month))
• Primary: The number of DSM-5-TR diagnostic criteria met for opioid use disorder (OUD) and stimulant use disorder (StUD) will be assessed. Scores range from 0 to 11, with higher scores indicating that more diagnostic criteria are met for the disorder. (Time 0 (Baseline) and Time 1 (One Month))
• Secondary: The Patient Health Questionnaire-9 (PHQ-9) will be used to assess depression symptoms. The potential scale scores range from 0 to 27, with higher scores indicating more severe depressive symptoms. Continuous variables will be created to assess the total scores at baseline and the 1-month follow-up, respectively. (Time 0 (Baseline) and Time 1 (One-Month))
• Secondary: The Generalized Anxiety Disorder Assessment-7 (GAD-7) will be used to assess anxiety symptoms. Each item is scored on a scale of 0 (not at all) to 3 (nearly every day), allowing for a comprehensive evaluation of anxiety symptoms in the past 2 weeks, such as 'Feeling nervous, anxious, or on edge' or 'Becoming easily annoyed or irritable...' The potential scale scores range from 0 to 21, with higher scores indicating more severe anxiety symptoms. To examine the changes in GAD-7 scores from baseline to the 1-month follow-up, continuous variables will be created to assess the scores at the respective time points. (Time 0 (Baseline) and Time 1 (One-Month))
• Secondary: The adapted Wellbeing and Basic Needs Survey will be used to assess confidence in meeting their basic needs. Participants were asked to rate their confidence in meeting their basic needs on a Likert scale ranging from "very confident" (1) to "not confident at all" (8). To examine changes in scores continuous variables were created to capture the baseline and 1-month follow-up scores, respectively. Scores may range from 8 to 64, which higher scores indicating less confidence in attending to basic needs. (Time 0 (Baseline) and Time 1 (One-Month))

Benchmark readouts in the surrounding field

• Effects of Mu-opiate Receptor Engagement on Microbial Translocation and Residual Immune Activation in HIV-infected, ART Suppressed Opioid Use Disorder Patients Initiating Medication-assisted Treatment (Phase 2): Baseline(Mean) = 1907.8 pg/ML (Standard Deviation, 377.2); Baseline(Mean) = 1746.4 pg/ML (Standard Deviation, 307.7)
• A Randomized, Double-Blind, Placebo-Controlled, Parallel-Group Study of RDX-002 on Postprandial Triglycerides in Patients Discontinuing the Glucagon-like Peptide-1 (GLP-1) Agonists, Semaglutide, or Tirzepatide for the Treatment of Obesity (Phase 2): Incremental Postprandial Triglycerides (TG)(Mean) = 43.81 percent change (Standard Deviation, 92.373); Incremental Postprandial Triglycerides (TG)(Mean) = -51.91 percent change (Standard Deviation, 72.293)
• A Phase II Study to Evaluate the Delay in Ovulation Following Oral Levonorgestrel Plus Meloxicam Compared to Placebo in Obese But Normal Menstruating Women (Phase 2): Interval From First Dose to Evidence of Ovulation.(Mean) = 2.67 Number of days (Standard Deviation, 1.53); Interval From First Dose to Evidence of Ovulation.(Mean) = 4.0 Number of days (Standard Deviation, 0)

These indexed results are contextual benchmarks, not direct head-to-head evidence. Population, treatment line, endpoint definitions, follow-up and analysis sets may differ. Their value is to clarify the type and magnitude of evidence already visible in the competitive landscape.

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Asset and sponsor context

Drug & Asset context: Not reported

Company & Deal Intelligence context: Washington University School of Medicine — United States — http://www.medschool.wustl.edu

The sponsor profile matters because scientific rationale alone does not determine development value. Manufacturing readiness, portfolio fit, geographic reach, partnering capacity and the ability to fund confirmatory development can decide whether a positive signal becomes a competitive asset.

White space around this program

• Sharper patient selection: prospective biomarker or phenotype definitions that identify who is most likely to benefit.
• Clinically interpretable endpoints: outcomes connecting activity with function, symptoms, survival or treatment burden.
• Sequencing evidence: comparative data after the most relevant contemporary standard of care.
• Broader external validity: evidence across additional geographies, demographic groups and real-world settings.
• Operational differentiation: a development path that closes the readout gap without sacrificing safety or durability.

What to monitor next

Monitor recruitment, enrollment changes, protocol amendments, endpoint hierarchy, primary-completion timing, first result indexing, asset ownership and sponsor partnerships. A change in endpoint, population or ownership can alter probability of success before a headline data release.

Bottom line

NCT07673380 is a focused lens on Opioid abuse development. Its value will be determined by whether uMAT-R + enhanced community engagement can convert the current design into evidence that is clinically meaningful, operationally credible and differentiated from indexed benchmark readouts.

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