# BoostOne

> **NIH NIH R43** · NXTECH INC · 2021 · $245,648

## Abstract

PROJECT SUMMARY
Individuals with opioid user disorder (OUD) face both short-term and long-horizon challenges to healthy and
productive decision-making. Recovery, particularly in the setting of MAT (but also more generally), is deeply
affected by phasic/psychological cravings and impaired long-horizon decision-making. Current cravings-
avoidance tools suffer from limited usability and restricted utility in common environmental/social contexts. In
addition, the majority of introspective or self-control improvement strategies (mindfulness, CBT) are unsuited for
uptake during moments of vulnerability, while clinical counseling or peer support suffer from scale/access
limitations. In response, we propose a field-deployable (mobile smartphone), automated intervention for acute
cravings in OUD which simultaneously addresses neurobiological drivers of long-term impulsive decision-
making. The innovation (“BoostONE”) comprises a system for just-in-time cravings management (Boost-C) and
impulsivity mitigation (Boost-I) and includes a framework for psychometric measurement of executive function for
outcomes tracking. Predicted effects of usage by individuals in MAT will be evaluated in a feasibility study of the
validated package. We anticipate this Phase I SBIR will provide the foundation for deployment of BoostONE in
active treatment settings and for broader extensions of the underlying technology framework.

## Key facts

- **NIH application ID:** 10158895
- **Project number:** 1R43DA051270-01A1
- **Recipient organization:** NXTECH INC
- **Principal Investigator:** Salil Patel
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $245,648
- **Award type:** 1
- **Project period:** 2021-07-15 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10158895

## Citation

> US National Institutes of Health, RePORTER application 10158895, BoostOne (1R43DA051270-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10158895. Licensed CC0.

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