Evidence map›Paper›PMID 41888483›Full record

SynthesisPharmaceutical research2026

A Comprehensive Review of the Revolutionary Potential of Blockchain in Safe, Secure, and Sustainable Pharmaceutical Operations.

Md Faiyazuddin, Keshav Moharir, Amol D Gholap, Prasanna Ranjith Christodoss, Yahya E Choonara, Khumblani Mnqiwu, Gowri Sundaram, Mohammad Tahir

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Pharmaceutical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Md FaiyazuddinCentre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. md.faiyazuddin@gmail.com.ORCID http://orcid.org/0000-0003-3455-8443
Keshav MoharirKavikulguru Kalidas Sanskrit University, Ramtek, Nagpur, Maharashtra, 441106, India.ORCID http://orcid.org/0000-0003-3792-2896
Amol D GholapDepartment of Pharmaceutics, St. John Institute of Pharmacy and Research, Palghar, Maharashtra, 401404, India.ORCID http://orcid.org/0000-0003-4145-4060
Prasanna Ranjith ChristodossMessiah University, One University Avenue, Mechanicsbur, PA, 17055, USA.ORCID http://orcid.org/0000-0003-4778-7915
Yahya E ChoonaraWits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Science, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.ORCID http://orcid.org/0000-0002-3889-1529
Khumblani MnqiwuWits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Science, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
Gowri SundaramPG & Research Department of Physics, Cauvery College for Women (Autonomous), Tiruchirappalli, Tamil nadu, India.ORCID http://orcid.org/0000-0001-8556-3328
Mohammad TahirDepartment of Computing, University of Turku, Vesilinnantie 5, 20014, Turku, Finland. tahir.mohammad@utu.fi.ORCID http://orcid.org/0000-0002-6273-4603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmaceutical research and industrial operations generate vast volumes of sensitive data across drug discovery, formulation development, manufacturing, and distribution, necessitating secure, transparent, and reliable digital infrastructures. The global counterfeit drug market exceeds $200 billion annually, posing a significant threat to patient safety and public health. Blockchain Technology (BT) has demonstrated the potential to reduce counterfeit medicine circulation by approximately 40%, offering a transformative framework for pharmaceutical data governance.

methodsA systematic literature review was performed using ScienceDirect, PubMed, IEEE Xplore, and SpringerLink databases to analyze peer-reviewed studies published between January 2017 and December 2024. Structured keyword strategies and predefined inclusion and exclusion criteria were employed to evaluate blockchain-driven pharmaceutical operations and their integration with Artificial Intelligence (AI) and the Internet of Things (IoT).

resultsThe findings reveal that BT substantially improves data integrity, immutability, traceability, transparency, and security across pharmaceutical workflows. Integration with AI and IoT further enables real-time monitoring and predictive analytics, leading to 30-55% improvements in operational efficiency, 25-50% reductions in logistics and compliance-related costs, and significant enhancements in clinical trial data accuracy, pharmacovigilance reporting efficiency, intellectual property protection, and genomic data governance and counterfeit drug prevention.

conclusionBlockchain-driven pharmaceutical ecosystems represent a paradigm shift in drug development, manufacturing, and distribution. Despite substantial benefits, challenges related to scalability, interoperability, data governance, and regulatory harmonization remain. Future research should prioritize the development of standardized frameworks, scalable architectures, and regulatory policies to accelerate industrial adoption and clinical translation.

Indexed as

BlockchainCounterfeit DrugsDrug IndustryArtificial IntelligenceHumansCounterfeit DrugsaIblockchaincounterfeit drug preventiondrug supply chain traceabilityioTpharmacovigilanceregulatory compliancesmart contract

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.