FDA drug labeling: rich resources to facilitate precision medicine, drug safety, and regulatory science
Open accessAbstract
Here, we provide a concise overview of US Food and Drug Administration (FDA) drug labeling, which details drug products, drug-drug interactions, adverse drug reactions (ADRs), and more. Labeling data have been collected over several decades by the FDA and are an important resource for regulatory research and decision making. However, navigating through this data is challenging. To aid such navigation, the FDALabel database was developed, which contains a set of approximately 80000 labeling data. The full-text searching capability of FDALabel and querying based on any combination of specific sections, document types, market categories, market date, and other labeling information makes it a powerful and attractive tool for a variety of applications. Here, we illustrate the utility of FDALabel using case scenarios in pharmacogenomics biomarkers and ADR studies.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
FDA drug labeling documents are authoritative resources for AE research.
“Due to their comprehensiveness and reliability, these documents are the primary source for researchers and healthcare professionals as a key reference for understanding drugs’ safety profiles [3].”
From Leveraging FDA Labeling Documents and Large Language Model to Enhance Annotation, Profiling, and Classification of Drug Adverse Events with AskFDALabel (2025) · cites this paper as [3]
The citation lists haven’t been fetched yet
References 22 · Cited by 56
- Authors
- Fang, H., Harris, S. C., Liu, Z., Zhou, G., Zhang, G., Xu, J., Rosario, L., Howard, P. C., & Tong, W.
- Affiliations
- National Center for Toxicological Research (US)
- United States Food and Drug Administration (US)
- Corresponding author
- Tong, Weida
- Venue
- Drug Discovery Today
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 21
- Issue
- 10
- Pages
- 1566-1570
- ISSN
- 1359-6446 (ISSN-L)
- OpenAlex
- W2422461554
- Cited by
- 56
- References
- 22
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 12 · 2023: 10 · 2022: 4 · 2021: 5 · 2020: 6 · 2019: 2 · 2018: 4 · 2017: 2
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Drug Discovery Today (publishedVersion, cc-by)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- FDA
- Oak Ridge Institute for Science and Education
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmaceutical industry and healthcare
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Keywords
- FDA drug labeling, drug-drug interactions, adverse drug reactions, drug safety, precision medicine, regulatory science, drug product information, full-text search
- MeSH terms
- Drug Labeling, United States, United States Food and Drug Administration, Databases, Factual, Internet, Precision Medicine, Drug-Related Side Effects and Adverse Reactions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review