Simpler Grants.gov #FOR-DA-26-001

NIH Forecasts Grant for Translating Addiction Research into Practice

The National Institutes of Health (NIH), through the National Institute on Drug Abuse (NIDA), is forecasting a grant opportunity to accelerate the translation of addiction research into practical applications addressing the opioid crisis. - Government Buyer: - National Institutes of Health (NIH) - National Institute on Drug Abuse (NIDA) - No OEMs or commercial vendors are specified, as this is a research grant opportunity. - Products/Services Requested: - Action-oriented research projects focused on translating addiction epidemiology, prevention, treatment, and recovery research into practice - No specific products, part numbers, or purchase quantities are listed - Notable Requirements: - Research must address malleable factors and barriers at individual, provider, organizational, community, or system levels - Priority research areas include: recovery, prevention, pain/addiction intersections, family engagement, care transitions, mental health integration, service quality improvement, substance use outcomes, and real-time data use - Collaborative and multidisciplinary research is encouraged, including modeling, health economics, implementation science, translation, or engagement science - Eligible applicants: educational institutions, nonprofits, businesses, and government entities - No product or service procurement; this is a funding opportunity for research projects only

Description

The National Institute on Drug Abuse (NIDA), along with other NIH Institutes, plans to publish a Notice of Funding Opportunity to support research that accelerates the translation of addiction epidemiology, prevention, treatment, and recovery research into practice. The focus is on addressing the opioid crisis and overdose events by identifying malleable factors and barriers at various levels including individual, provider, organizational, community, or system. Priority areas include recovery, prevention, pain/addiction intersections, family engagement, care transitions, mental health integration, service quality improvement, substance use outcomes, and real-time data use. The initiative encourages collaborative investigations involving modeling, health economics, implementation science, translation, or engagement science.

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