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Substandard and falsified medicine recalls in the legitimate supply chain: a systematic review of evidence

Fryze, Izabella, Naughton, Bernard D·2025·BMJ Open

Abstract

Objectives: To compare international substandard and falsified (SF) medicine recall trends from published research papers based on governmental databases, summarise the extent of the problem in the legitimate supply chain, and identify ways to manage the issue. Design: Systematic review of published academic evidence. Data sources: Drug recall data in published literature, obtained from official international government regulator databases in the USA, the UK, Canada, Sri Lanka, Zambia, Portugal, Nepal, Saudi Arabia, Argentina, Brazil, Chile, Cuba, Colombia, Mexico, Bolivia, Costa Rica, Ecuador, El Salvador, Guatemala, Honduras, Panama, Peru and Venezuela. Eligibility criteria: A search for literature published between 2010 and 2024 was conducted using PubMed, MEDLINE and Embase. Included studies examined recall data of substandard and/or falsified medicines obtained through official government regulator websites. Data extraction and synthesis: Data were extracted using Excel files and synthesised using a thematic analysis approach. Results: 13 research papers containing original data were included. Recall data were obtained from official regulatory databases in 23 different countries. Substandard medicines had significantly higher recall rates than falsified products, while parenteral drugs and tablets were the most recalled formulation types. The leading reasons for defective medicines were contamination, out-of-specification results, stability and packaging issues. India was identified as a common source of SF medicines in Zambia, Sri Lanka, Brazil and Nepal. Frequent recalls of anti-infective drugs were observed in countries with equatorial, tropical and subtropical climates, while high-income countries like Canada, Saudi Arabia and the UK faced issues with defective antihypertensive drugs. Interestingly, medicines affected by nitrosamines’ contamination were recalled in all regions examined in 2018, but in other recall cases, there were disparities among recall action. Conclusions: There appeared to be similar international recall practices for some products like nitrosamines and not for others like rosiglitazone across the same time frame, which raises questions concerning international drug safety disparities. The requirement to align and globally strengthen regulatory frameworks was of emerging importance. Cooperation between regulatory authorities to create a harmonised approach to reporting medicine recalls and standardising the data included in a recall notification is proposed to facilitate a more accurate comparison of international trends surrounding recalled SF medicines.

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Cited by 6

Research works printed but not linked: 21

  1. Naughton, 2015, EU Falsified Medicines Directive mandatory requirements for secondary care: A concise review, J Generic Med, 12, 95, 10.1177/1741134316643358 · doi:10.1177/1741134316643358
  2. Naughton BD , Akgul E . Medicine quality in high-income countries: The obstacles to comparative prevalence studies. Med Access Point Care 2021;5. doi:10.1177/23992026211052272 · DOI
  3. McManus, 2020, A systematic review of substandard, falsified, unlicensed and unregistered medicine sampling studies: a focus on context, prevalence, and quality, BMJ Glob Health, 5, 10.1136/bmjgh-2020-002393 · doi:10.1136/bmjgh-2020-002393
  4. Ozawa, 2018, Prevalence and Estimated Economic Burden of Substandard and Falsified Medicines in Low- and Middle-Income Countries: A Systematic Review and Meta-analysis, JAMA Netw Open, 1, 10.1001/jamanetworkopen.2018.1662 · DOI · Paper page
  5. Almuzaini, 2013, Substandard and falsified medicines in the UK: a retrospective review of drug alerts (2001-2011), BMJ Open, 3, 10.1136/bmjopen-2013-002924 · DOI
  6. AlQuadeib BT , Alfagih IM , Alnahdi AH , et al . Medicine recalls in Saudi Arabia: a retrospective review of drug alerts (January 2010–January 2019). Futur J Pharm Sci 2020;6. doi:10.1186/s43094-020-00112-3 · doi:10.1186/s43094-020-00112-3
  7. Chabalenge B , Jere E , Nanyangwe N , et al . Substandard and falsified medical product recalls in Zambia from 2018 to 2021 and implications on the quality surveillance systems. J Med Access 2022;6. doi:10.1177/27550834221141767 · DOI
  8. Neupane, 2022, Review of drug recalls and quality of pharmaceutical products in Nepal, BMJ Open, 12, 10.1136/bmjopen-2021-053479 · DOI
  9. Yang, 2020, An Analytic Investigation of the Drug Formulation-Based Recalls in the USA: See More Beyond the Literal, AAPS PharmSciTech, 21, 10.1208/s12249-020-01726-9 · DOI · Paper page
  10. Oliveira, 2023, Recall of substandard medicines in Brazil during the period 2010-2018, BMC Health Serv Res, 23, 10.1186/s12913-023-09225-w · DOI
  11. Tharmalinga Sharma, 2023, Quality of medicines in Sri Lanka: a retrospective review of safety alerts, BMC Health Serv Res, 23, 10.1186/s12913-023-09995-3 · doi:10.1186/s12913-023-09995-3
  12. Fedalto, 2021, Reports of substandard medicines: a lexicographic analysis of the Brazilian Health Surveillance Report System, Rev Ciênc Farm Básica Apl, 42, 10.4322/2179-443X.0753 · DOI
  13. Open Resources for Nursing (Open RN) . Chapter 18 administration of parenteral medications. In: Ernstmeyer K , Christman E , eds. Nursing skills. Eau Claire (WI): Chippewa Valley Technical College, 2021. Available: https://www.ncbi.nlm.nih.gov/books/NBK593214/
  14. Thiagarajan, 2023, Indian government cracks down on 18 drug companies for poor quality manufacturing, BMJ, 381, 785, 10.1136/bmj.p785 · doi:10.1136/bmj.p785
  15. Thiagarajan, 2023, India’s medicine regulator is criticised for quality checking only cough medicines destined for export, BMJ, 383, 2951, 10.1136/bmj.p2951 · doi:10.1136/bmj.p2951
  16. Bhandari, 2022, Counterfeit Healthcare Products: Nepal at a Vulnerable Position, J Nepal Med Assoc, 60, 1070, 10.31729/jnma.7684 · doi:10.31729/jnma.7684
  17. 10.5731/pdajpst.2017.007567 · doi:10.5731/pdajpst.2017.007567
  18. Process analytical technologies (pat) for packaging. European Pharmaceutical Review; 2014. Available: https://www.europeanpharmaceuticalreview.com/article/24951/pat-packaging-review-applications-expeditious-nondestructive-quality-testing/ [Accessed 17 Oct 2024].
  19. 10.1517/14740338.5.5.703 · DOI · Paper page
  20. Mackey, 2018, Prevalence of Substandard and Falsified Essential Medicines: Still an Incomplete Picture, JAMA Netw Open, 1, 10.1001/jamanetworkopen.2018.1685 · doi:10.1001/jamanetworkopen.2018.1685
  21. OECD . OECD globalrecalls portal: 2015-2019 enhancements”, oecd digital economy papers, no. 294. Paris OECD Publishing; 2020.294. Available: https://doi.org/10.1787/d8b0d605-en · doi:10.1787/d8b0d605-en

Metadata

Authors
Fryze, I., & Naughton, B. D.
Venue
BMJ Open
Publisher
BMJ
Published
2025-10
Volume
15
Issue
10
Pages
e103672
ISSN
2044-6055
Cited by
6
Language
en

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CoChat. (2026). Citation check: Substandard and falsified medicine recalls in the legitimate supply chain: a systematic review of evidence. https://app.cochat.ai/papers/10.1136/bmjopen-2025-103672
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Fryze, I., & Naughton, B. D. (2025). Substandard and falsified medicine recalls in the legitimate supply chain: a systematic review of evidence. BMJ Open. https://doi.org/10.1136/bmjopen-2025-103672

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