HEAL Initiative: Translating Addiction Epidemiology, Prevention, Treatment, and Recovery Research into Practice (R61/R33 - Clinical Trial Optional)
National Institutes of Health · Opportunity RFA-DA-27-016
Who can apply
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and State institutions of higher education
- Native American tribal governments (Federally recognized)
- Public housing authorities
- Native American tribal organizations (other)
- Nonprofits with 501(c)(3), other than higher education
- Nonprofits without 501(c)(3)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others
Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
About this opportunity
The goal of this notice of funding opportunity (NOFO) is to address the opioid crisis and/or overdose events by supporting action-oriented research, accelerating the translation of addiction epidemiology, prevention, treatment services, and recovery research to practice. Proposed studies may target the individual, provider, organizational, community, or system level. This initiative prioritizes replicable and scalable approaches for accelerating the routine use of effective, evidence-based prevention, treatment and recovery interventions and services. The translation of research to practice and research relevant to chronic pain comorbid with substance use is also a priority. Research may deploy a variety of methods and approaches, including but not limited to identifying and characterizing malleable factors, developing and testing interventions and implementation strategies, deploying and testing collaborative data science approaches, and/or developing and testing approaches that integrate the collaboration of researchers and decision-makers at any levels (e.g., clinical-, health system-, public health- or policy-level).
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