Consensus-based Algorithms to Address Opioid Misuse Behaviors Among Individuals Prescribed Long-term Opioid Therapy

Completed · Not applicable

Conditions studied: Opioid Misuse, Chronic Pain

In brief

The NIH Helping to End Addiction Long-term (HEAL) initiative has identified a critical next step to addressing the opioid crisis: improving treatments for opioid misuse behaviors (e.g., using more opioids than prescribed, illicit substance use) in patients prescribed long-term opioid therapy for chronic pain. In previous work, the investigators have developed innovative consensus-based algorithms to manage these behaviors. By developing implementation strategies for these algorithms, this project is directly responsive to the HEAL initiative and promises to reduce opioid misuse-related harms.

Key facts

Study ID

NCT05182606

Run by

University of Pittsburgh

People needed

49

Starts

2022-03-01

Expected to finish

2024-09-30

Last updated by the study team

2026-06-30

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Clinicians practicing at UPMC community primary care clinics.

You may not qualify if…

• Clinicians not practicing at UPMC community primary care clinics.

Where it is running

• University of Pittsburgh — Pittsburgh, Pennsylvania, United States

Full record on ClinicalTrials.gov

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