Abstract
Background
Drug repurposing describes the approval of an already authorized medicine for a new therapeutic indication. Rising development costs, long clinical timelines and attrition in first-in-class discovery have renewed interest in this strategy as a way to extend pharmacological value using pre-validated mechanisms. This study evaluates how repurposing has contributed to pharmaceutical innovation over four decades, examining approval patterns, therapeutic redirection and industry behavior.
Methods
A longitudinal dataset of all new molecular entities and biologic products approved by the United States regulator between 1985 and 2024 was constructed. Repurposing was defined strictly as a new therapeutic indication distinct from the original approval. All cases were verified using regulatory documentation. Descriptive analyses quantified approval volumes, therapeutic transitions, applicant trajectories and development intervals. We compared the time to repurposing when development remained within the original company versus when rights transferred externally.
Results
Here we show that 451 drugs received subsequent approval for a new therapeutic use, representing a substantial fraction of authorized medicines. Oncology and neurological disorders act as major nodes of redirection, serving both as frequent endpoints and as mechanistic sources for cross-domain translation. The mean interval between first approval and repurposing is 7.2 years, shorter than typical development timelines for newly originated drugs. Repurposing occurs more rapidly when development rights remain with the original owner, and large firms account for most approvals.
Conclusions
Repurposing has become a durable component of pharmaceutical innovation, enabling faster clinical deployment of validated mechanisms across disease domains. These findings highlight its potential to expand treatment options while reducing R&D uncertainty.
Plain language summary
Drug repurposing occurs when a medicine already approved for one disease later gains approval for a different therapeutic use. Because developing entirely new treatments is lengthy and complex, repurposing can offer a faster and more reliable route to bring effective therapies to patients. In this study, we analyzed all FDA drug approvals over the past forty years to understand how repurposing actually unfolds. We traced how medicines move across disease areas, how long these transitions take, and how often companies redirect their own products compared with external developers.
Our findings show that repurposing is a stable and meaningful part of pharmaceutical innovation, enabling established scientific knowledge to be reapplied in new ways and accelerating the arrival of new treatment options.
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Data availability
All data used in this study were generated by the authors through systematic extraction from FDA primary sources. Drugs@FDA is an online public database that provides access to FDA approval documents, product labels and regulatory histories and can be accessed at https://www.fda.gov/drugs/development-approval-process-drugs/drug-approvals-and-databases. The FDA Approved Drug Products database, commonly referred to as the Orange Book, is also publicly available online at https://www.accessdata.fda.gov/scripts/cder/ob/index.cfm. The aggregated numerical data used to generate the figures in this article are provided in Supplementary Data 1. The complete curated dataset developed for this study is protected under an i-Depot registration and cannot be publicly disseminated due to intellectual property restrictions and ongoing research use. However, all methodological steps required to reproduce the dataset are fully described in the article and the supplementary materials, allowing reconstruction of the dataset from publicly accessible FDA sources.
References
Wouters, O. J., McKee, M. & Luyten, J. Estimated research and development investment needed to bring a new medicine to market, 2009-2018. J. Am. Med. Assoc. 323, 844–853 (2020).
Pushpakom, S. et al. Drug repurposing: progress, challenges and recommendations. Nat. Rev. Drug Discov. 18, 41–58 (2019).
Hauser, A. S. et al. Trends in GPCR drug discovery: new agents, targets and indications. Nat. Rev. Drug Discov. 16, 829–842 (2017).
Krishnamurthy, N. et al. Drug repurposing: a systematic review on root causes, barriers and facilitators. BMC Health Serv. Res. 22, 970 (2022).
Gelosa, P. et al. Drug repurposing in cardiovascular diseases: opportunity or hopeless dream?. Biochem. Pharm. 177, 113894 (2020).
Deotarse, P. et al. Drug repositioning: a review. Int. J. Pharma Res. Rev. 4, 51–58 (2015).
Novack, G. D. & Moshiri, A. Off-label use as a standard of care. Am. J. Ophthalmol. 224, A6–A8 (2021).
Nosengo, N. Can you teach old drugs new tricks?. Nature 534, 314–316 (2016).
Kupferschmidt, K. & Cohen, J. Race to find COVID-19 treatments accelerates. Science 367, 1412–1413 (2020).
Halabi, S. The drug repurposing ecosystem. Yale J. Law Technol. 20, 1–35 (2017).
Rapicavoli, R. V. et al. Computational methods for drug repurposing. Adv. Exp. Med. Biol. 1361, 119–141 (2022).
DiMasi, J. A., Grabowski, H. G. & Hansen, R. W. Innovation in the pharmaceutical industry: new estimates of R&D costs. J. Health Econ. 47, 20–33 (2016).
Grabowski, H. & Vernon, J. Longer patents for increased generic competition in the US. The Waxman-Hatch Act after one decade. Pharmacoeconomics 10, 110–123 (1996). Suppl 2.
Paul, S. M. et al. How to improve R&D productivity: the pharmaceutical industry’s grand challenge. Nat. Rev. Drug Discov. 9, 203–214 (2010).
Mullard, A. 2021 FDA approvals. Nat. Rev. Drug Discov. 21, 83–88 (2022).
Collins, F. S. & Varmus, H. A new initiative on precision medicine. N. Engl. J. Med. 372, 793–795 (2015).
Beigel, J. H. et al. Remdesivir for the treatment of Covid-19—final report. N. Engl. J. Med. 383, 1813–1826 (2020).
Ashburn, T. T. & Thor, K. B. Drug repositioning: identifying and developing new uses for existing drugs. Nat. Rev. Drug Discov. 3, 673–683 (2004).
Murteira, S., Millier, A., Ghezaiel, Z. & Lamure, M. Drug reformulations and repositioning in the pharmaceutical industry and their impact on market access: regulatory implications. J. Mark. Access Health Policy 2, https://doi.org/10.3402/jmahp.v2.22813 (2014).
Tripathi, M. K. et al. Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery. Mol. Divers. 25, 1439–1460 (2021).
Wu, Y. et al. The role of artificial intelligence in drug screening, drug design, and clinical trials. Front. Pharm. 15, 1459954 (2024).
Crunkhorn, S. Deep learning framework for repurposing drugs. Nat. Rev. Drug Discov. 20, 100 (2021).
Roessler, H. I. et al. Drug repurposing for rare diseases. Trends Pharm. Sci. 42, 255–267 (2021).
Thakor, R.T. & Lo, A.W. Competition and R&D financing decisions: theory and evidence from the biopharmaceutical industry. MIT Sloan Research Paper No. 5140–15 (2018).
Ajuzie, E. et al. Productive efficiency and optimal firm size: the case of US Health Services Industry. Am. J. Health Sci. 2, 75–86 (2011).
Poduri, R. et al. Drug repurposing. De Gruyter Textbook. (De Gruyter, Berlin, Boston, 2023).
Stebbing, J. et al. Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients. EMBO Mol. Med. 12, e12697 (2020).
Deng, J. et al. Artificial intelligence in drug discovery: applications and techniques. Brief Bioinform. 23, bbab430 (2022).
Song, C. H. & Han, J. W. Patent cliff and strategic switch: exploring strategic design possibilities in the pharmaceutical industry. SpringerPlus 5, 692 (2016).
DeRuiter, J. & Holston, P. L. Drug patent expirations and the “patent cliff. US Pharm. 37, 12–20 (2012).
Munos, B. Lessons from 60 years of pharmaceutical innovation. Nat. Rev. Drug Discov. 8, 959–968 (2009).
Kolluri, S. et al. Machine learning and artificial intelligence in pharmaceutical research and development: a review. AAPS J. 24, 19 (2022).
Al Khzem, A.H. et al. Drug repurposing for cancer treatment: a comprehensive review. Int. J. Mol. Sci. 25, 12441 (2024).
Gibson, S., Raziee, H. R. & Lemmens, T. Why the shift? Taking a closer look at the growing interest in niche markets and personalized medicine. World Med. Health Policy 7, 3–27 (2015).
Yang, D. X. & Kim, Y. A. Helping science and drug development to succeed through pharma-academia partnerships: Yale Healthcare Conference. Yale J. Biol. Med. 86, 429–432 (2013).
Melero, I. et al. Evolving synergistic combinations of targeted immunotherapies to combat cancer. Nat. Rev. Cancer 15, 457–472 (2015).
Santos, R. et al. A comprehensive map of molecular drug targets. Nat. Rev. Drug Discov. 16, 19–34 (2017).
Bhatia, T. & Sharma, S. Drug repurposing: insights into current advances and future applications. Curr. Med. Chem. 32, 468–510 (2025).
van den Berg, S. et al. Drug repurposing for rare diseases: a role for academia. Front. Pharm. 12, 746987 (2021).
Wilding, J. P. H. et al. Once-weekly semaglutide in adults with overweight or obesity. N. Engl. J. Med. 384, 989–1002 (2021).
Ekins, S. et al. Exploiting machine learning for end-to-end drug discovery and development. Nat. Mater. 18, 435–441 (2019).
Hodos, R. A. et al. In silico methods for drug repurposing and pharmacology. Wiley Interdiscip. Rev. Syst. Biol. Med. 8, 186–210 (2016).
Liu, I. T. T., Kesselheim, A. S. & Cliff, E. R. S. Clinical benefit and regulatory outcomes of cancer drugs receiving accelerated approval. J. Am. Med. Assoc. 331, 1471–1479 (2024).
Parvathaneni, V. et al. Drug repurposing: a promising tool to accelerate the drug discovery process. Drug Discov. Today 24, 2076–2085 (2019).
Verbaanderd, C. et al. On-label or off-label? Overcoming regulatory and financial barriers to bring repurposed medicines to cancer patients. Front. Pharm. 10, 1664 (2019).
Christensen, M. L. Best pharmaceuticals for children act and pediatric research equity act: time for permanent status. J. Pediatr. Pharm. Ther. 17, 140–141 (2012).
Wolffenbuttel, B. H. R., Heiner-Fokkema, M. R. & van Spronsen, F. J. Preventive use of nitisinone in alkaptonuria. Orphanet J. Rare Dis. 16, 343 (2021).
PGM Intelligence and MSCI. Global Industry Classification Standard (GICS®) Mapbook 2018 v3 Letter Digital Spreads (S&P Global Market Intelligence/MSCI, New York, London, 2018).
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Conceptualization: S.A. and H.S.; Methodology: S.A. and X.N.; Data curation: S.A.; Formal analysis: S.A., X.N., and B.S.; Investigation: S.A.; Supervision: H.S.; Writing—riginal draft: S.A.; Writing—review and editing: S.A., X.N., B.S., and H.S.
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Akodad, S., Niu, X., Secades, B. et al. Impact of drug repurposing between 1985 and 2024 on pharmaceutical innovation. Commun Med (2026). https://doi.org/10.1038/s43856-025-01344-1
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DOI: https://doi.org/10.1038/s43856-025-01344-1


