ReviewDrug safety2001
Clinical-pharmacological strategies to assess drug interaction potential during drug development.
Review in Drug safety, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fish-Derived Omega-3 Fatty Acids and Prostate Cancer: A Systematic Review.Integrative cancer therapies · 2017Pooled it
- A randomised study of the effect of danoprevir/ritonavir or ritonavir on substrates of cytochrome P450 (CYP) 3A and 2C9 in chronic hepatitis C patients using a drug cocktail.European journal of clinical pharmacology · 2013Trial
- Trends in drug-drug interaction prevalence and longitudinal associations with health outcomes in the older community-dwelling population: Findings from The Irish LongituDinal study on Ageing.British journal of clinical pharmacology · 2025Article
- Non-nutritive sweeteners in food-drug interactions: An overview of current evidence.Molecular pharmacology · 2025Review
- Machine learning to predict metabolic drug interactions related to cytochrome P450 isozymes.Journal of cheminformatics · 2022Article
- A retrospective evaluation of drug-drug interactions in patients admitted to Internal Medicine Departments in Palestinian Hospitals.SAGE open medicine · 2022Article
- Drug interactions and oncological outcomes: a hidden adversary.Ecancermedicalscience · 2019Article
- An original pharmacoepidemiological-pharmacodynamic method: application to antipsychotic-induced movement disorders.British journal of clinical pharmacology · 2017Article
- Introducing the Big Knowledge to Use (BK2U) challenge.Annals of the New York Academy of Sciences · 2017Review
- Computerized techniques pave the way for drug-drug interaction prediction and interpretation.BioImpacts : BI · 2016Review
- Characterization of schizophrenia adverse drug interactions through a network approach and drug classification.BioMed research international · 2013Article
- An onco-informatics database for anticancer drug interactions with complementary and alternative medicines used in cancer treatment and supportive care: an overview of the OncoRx project.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2010Article
- Adequacy of pharmacological information provided in pharmaceutical drug advertisements in African medical journals.Pharmacy practice · 2009Article
- Review
- Review
- Oncology nurses awareness of drug interactions.Asia-Pacific journal of oncology nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug interactions in patients receiving multiple drug regimens are a constant concern for the clinician. With the increased availability of new drugs and their concomitant use with other drugs, there has been a rise in the potential for adverse drug interactions as demonstrated by the recent withdrawals of newly marketed drugs because of unacceptable interaction profiles. Therefore, the interaction potential of a new compound has to be assessed in detail, starting with preclinical in vitro and in vivo studies at candidate selection and continuously followed up through preclinical and clinical development. Since formal in vivo studies of all possible drug interactions are neither practicable nor suggestive, a careful selection of a limited number of drug combinations to be investigated in vivo during the development phase is indicated. Based on knowledge of pharmacokinetic and biopharmaceutical properties, a well balanced link between in vitro investigations and carefully selected in vivo interaction studies allows full assessment of the potential of a new drug to cause clinically relevant pharmacokinetic drug-drug interactions, prediction of a lack of interactions and derivation of the proper dose recommendations. Clinical pharmacology plays a number of key roles within the process of collecting information on drug interactions during preclinical and clinical development: addressing issues and/or favourable properties to be expected, thus contributing to the scientific assessment of development potential; setting up a rational in vivo drug-drug interaction programme; performing early mechanistic studies to link in vitro with in vivo information (employing 'cocktail' approaches if possible); reviewing co-medication sections for clinical trials; and conducting labelling-oriented interaction studies, after proof of concept. The fact that interactions can occur between various active substances should by itself be a conclusive argument against unnecessary polypharmacy. Prescribing fewer drugs on a rational basis can reduce the risk of adverse effects secondary to drug interactions and may help to improve the quality of drug treatment and to save costs.
Indexed as
Identifiers
11676300What OpenQuestion holds
Registered trials
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.