# SOAR: Smartphones for Opioid Addiction Recovery

> **NIH NIH R01** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2021 · $989,878

## Abstract

PROJECT SUMMARY
Over 2 million Americans suffer from Opioid Use Disorder (OUD) and another 9 million misuse opioids.
Treatments for opioid addiction exist, but effectiveness is compromised when subjects use illicit opiates during
treatment. Reuse rates during treatment can be high, and reducing illicit opiate use during treatment has thus
recently become a major NIDA policy goal. Elevated reuse rates not only compromise treatment effectiveness,
but this behavior predicts, and likely drives, treatment dropout. With the support of a NIDA basic science R01,
we developed a set of easy-to-use instruments that predict opioid reuse events with about twice the accuracy of
any existing tool. The 5-minute battery we developed indicates the numerical probability that a patient will reuse
illicit opiates within the next 7-10 days. In a pilot cohort, we successfully migrated this battery to a commercial
smartphone platform, and demonstrated 100% retention and >85% compliance (median compliance > 95%) over
a use period of up to 4 months. In a survey of our largely homeless MOUD patients we found that 85% already
had smartphones and data contracts appropriate for using this platform as a part of their treatment. In a survey
of OUD treatment physicians, we found that our system and the reuse prediction it provides, was both highly
desirable and usable as implemented. Finally, we found in a reanalysis of data from CTN-0051 that dynamic
dosing of this very kind reduces relapse rates. Our primary goal in this mid-scale clinical trial is to test the
hypothesis that clinicians who use the output of our mobile system to adjust buprenorphine and methadone
dosing achieve lower opiate reuse rates than physicians who provide care-as-usual. Our secondary goal is to
examine the usability and desirability of this solution for clinicians with an eye to usability and large-scale
deployment. Our third and final goal is to measure the cost-effectiveness of this solution from multiple
perspectives. If we are successful it will be possible to employ an algorithmic and measurement-based approach
to OUD treatment with methadone and buprenorphine which reduces reuse rates and relapse rates amongst
OUD patients.

## Key facts

- **NIH application ID:** 10280199
- **Project number:** 1R01DA054220-01
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** PAUL W GLIMCHER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $989,878
- **Award type:** 1
- **Project period:** 2021-08-15 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10280199

## Citation

> US National Institutes of Health, RePORTER application 10280199, SOAR: Smartphones for Opioid Addiction Recovery (1R01DA054220-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10280199. Licensed CC0.

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