The need for translational research on drug-drug interactions
Open accessAbstract
Drug-drug interactions (DDIs) are an important clinical and public health concern. Although DDI screening now occurs during drug development, it is difficult to predict clinical importance based on in vitro experiments. Furthermore, older drugs that were not screened may have interactions that have not yet been identified. In this Commentary, we review the importance of DDIs and argue that a translational research approach is needed to produce clinically actionable information as well as generalizable biological knowledge.
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Because controlled clinical interaction studies remain rare, detecting safety signals for berberine-drug pairs depends, in practice, on spontaneous reporting and disproportionality analyses in pharmacovigilance databases.
“Because controlled clinical interaction studies remain rare, detecting safety signals for berberine–drug pairs depends, in practice, on spontaneous reporting and disproportionality analyses in pharmacovigilance databases, which underscores the importance of structured recording of supplement use [91,119].”
From Berberine-Drug Interactions: Mechanisms, Clinical Relevance and Risk Stratification-A Narrative Review (2026) · cites this paper as [119]
In “The clinical and public health importance of drug-drug interactions” (page not available), the paper says few hypothesized interactions have been studied thoroughly. In “The need for translational research on drug-drug interactions” (page not available), it identifies spontaneous-report mining as one way to investigate interactions, but treats it as complementary to other approaches and rarely definitive. It does not address berberine–drug pairs or establish that signal detection depends on disproportionality analyses. (LLM, conf=0.86)
Experimental — accuracy not yet measuredUnder-reporting to pharmacovigilance systems pushes the other way, and the paper cannot say which of the two (publication bias vs under-reporting) dominates.
“Under-reporting to pharmacovigilance systems pushes the other way, and we cannot say which of the two dominates [91,119].”
From Berberine-Drug Interactions: Mechanisms, Clinical Relevance and Risk Stratification-A Narrative Review (2026) · cites this paper as [119]
The section on translational research discusses limitations of spontaneous adverse-event reports, including an assumption about whether concomitant medications influence reporting. It does not address under-reporting pushing against publication bias or compare which effect dominates (searched: under-reporting, publication bias, spontaneous reports). (LLM, conf=0.74)
Experimental — accuracy not yet measured
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“…controlled clinical interaction studies remain rare, detecting safety signals for berberine–drug pairs depends, in practice, on spontaneous reporting and dispro-portionality analyses in pharmacovigilance databases, which underscores the importance of structured recording of supplement use [91,119].”
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Translational drug interaction study using text mining technology
Wu, H. (2017) · IUScholarWorks (Indiana University) · doi:10.7912/c2/902
- Authors
- Hennessy, S., & Flockhart, D. A.
- Affiliations
- University of Pennsylvania (US)
- Indiana University Indianapolis (US)
- Corresponding author
- Hennessy, S
- ORCID
- Hennessy, S
- Venue
- Clinical Pharmacology & Therapeutics
- Publisher
- Wiley
- Published
- 2012-05
- Volume
- 91
- Issue
- 5
- Pages
- 771-773
- ISSN
- 0009-9236 (ISSN-L)
- 1532-6535
- PMC
- PMC4340251
- OpenAlex
- W2055162590
- Cited by
- 25
- References
- 8
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 4 · 2016: 1 · 2015: 4 · 2014: 1 · 2013: 4 · 2012: 1
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Pharmacology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Purdue University Indianapolis (Indiana University) (submittedVersion)
- PMC
- Funders
- National Institutes of Health (2kl2rr024132-06)
- National Institute on Aging (R01AG025152, RC1AG035751)
- National Institute of General Medical Sciences (T32GM008425, T32 GM 08425)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK102694)
- National Center for Research Resources (KL2-RR024132)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U10HD063094, U54HD071598, T32HD069047)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Keywords
- drug-drug interactions, translational research, clinical pharmacology, drug safety
- MeSH terms
- Clopidogrel, Female, Humans, Male, Platelet Aggregation Inhibitors, Pyridines, Ticlopidine, Hydroxymethylglutaryl-CoA Reductase Inhibitors
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