The TAGGS Assistance Listing Report provides detailed award information for a single Assistance Listing. The data provided is from FY 2008 or from the start date of data collection through the present. For information prior to FY 2008, please use the TAGGS Advanced Search.
In the top display you will see the name of the primary Assistance Listing, agency, assistance type, and any popular name it might use, along with the 5-digit Assistance Listing Number.
Assistance Listings consisting of Direct Payment Awards may not contain links to additional recipient and award information. Direct Payment data is often collected as aggregated payments to a state to protect the personal information of the assistance recipients.
Along with the bar chart broken up by Issue Date or Funding Fiscal Year, there is also an exportable table below that groups by Issue Date or Funding Fiscal Year and shows the recipient name, state, award number, award title and amount from each award action.
By using the radio buttons, you may view data by the Issue Date Fiscal Year of by Funding Fiscal Year. In most cases, the Issue Date and Funding Fiscal Years coincide, although in some cases, delays in issuing an award and award close outs will cause the Issue Date of an award to be outside the of the Funding Fiscal Year.
Table data can be exported by choosing one of the export-format icons located at the top right of the table. Export file formats include:
*Abstracts not included
PLEASE NOTE: Exports are limited to 25,000 recordsThe two Fiscal Year (FY) viewing options are:
| Issue Date FY | The FY in which the award action Occurred |
| Funding FY | The FY in which the award action Funded |
To enter Keyboard Support and Web Page Reader Support for the report results grid view, you will need to press Ctrl Shift G
| Action | Shortcut |
| Move through rows | ← ↑ ↓ → |
| Next page | SHIFT PAGE DOWN |
| Previous page | SHIFT PAGE UP |
| Move through column headers and data fields | TAB |
| Sort ASC/DESC when a column header is selected | ENTER |
Objectives: Since its launch with the support of Congress in 2018, the NIH HEAL Initiative has made the nation’s largest ever investment in research to end the national overdose crisis. Overdose fatalities account for tens of thousands of deaths annually and there are nearly 9 million Americans ages 12 and older who misused opioids in the past year, and an estimated 5.7 million with opioid use disorder (OUD), which is likely an undercount of how many people are actually affected. In parallel, chronic pain affects 50 million adults in the United States with nearly 20 million living daily with chronic pain that interferes with their lives and if improperly treated, puts them at risk for illicit opioid misuse alongside the risk of OUD and overdoses. The NIH HEAL Initiative was launched through specific Congressional funding to the National Institute on Drug Abuse (NIDA) and the National Institute of Neurological Disorders and Stroke (NINDS) to address these challenges using a multifaceted evidence-based approach that brings together scientists, healthcare providers, patient advocates, community members, the private sector, and multiple levels of government – all sharply focused on developing and deploying scientific solutions with the ultimate goal of preventing all overdoses and developing safer, nonaddictive treatments for pain. The NIDA HEAL Initiative strategic plan for OUD and overdoses includes two core research objectives around which NIDA will prioritize HEAL research investments: (1) Advance research to prevent and treat OUD and overdoses including overdoses that result from the use of multiple substances simultaneously. (2) Advance cross-cutting research to prevent and treat OUD and overdoses in the context of chronic pain and other mental health conditions that commonly occur in people who experience OUD. These research objectives incorporate other cross-cutting goals, including enhancing women’s and children’s health; addressing public health challenges across the lifespan; promoting collaborative science; and leveraging data science for biomedical discovery.