ReviewDeutsches Arzteblatt international2012
Drug interactions--principles, examples and clinical consequences.
Review in Deutsches Arzteblatt international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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Who cites it
76 citing papers in PubMed.
- Trial
- DDI-HierPred: An Artificial Intelligence-Based Hierarchical PK/PD Platform for Drug-Drug Interaction Prediction.Pharmaceutics · 2026Article
- [Austrian lipid consensus : Interdisciplinary evidence-based recommendations on prevention and treatment of lipid-associated diseases from 15 medical specialist societies].Wiener klinische Wochenschrift · 2026Article
- The evolving landscape of pharmacogenomics: Current achievements and future directions.Pharmacological reviews · 2026Review
- Population-Based Assessment of Phenoconversion Potential in Switzerland: A Claims Data Study of Key Drug-Metabolizing Enzymes and Transporters.Pharmacogenomics and personalized medicine · 2026Article
- Dammarolic acid improves tyrosine kinase inhibitor activity in lung cancer cells.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- InfoMedex: drug-drug interaction prediction via a multimodal CNN-transformer model.Frontiers in drug safety and regulation · 2026Article
- Silent Dangers in Elderly Pharmacotherapy: The Interplay of Polypharmacy, Multimorbidity, and Drug Interactions.Journal of evaluation in clinical practice · 2025Review
- In-silico receptor interactions, phytochemical fingerprint and biological activities of Matricaria chamomilla flower extract and the main components.Scientific reports · 2025Article
- Recreational drugs repurposed for medicinal use-cannabis.CNS spectrums · 2025Review
- Review
- Drug-drug interactions of plant alkaloids derived from herbal medicines on the phase II UGT enzymes: an introductory review.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Phenoconversion andHepatology forum · 2025Review
- Risk Factors and Patterns of Drug-Drug Interactions in Two Categories of Level-3 Hospitals in Dhaka: A Cross-Sectional Study.Health science reports · 2025Article
- Pharmacovigilance in the Age of Legalized Cannabis: Using Social Media to Monitor Drug-Drug Interactions Between Immunosuppressants and Cannabis-Derived Products.Drug safety · 2025Article
- Real-World Evaluation of the Interaction Between Rifampicin and Warfarin: A Retrospective Observational Study.Advances in pharmacological and pharmaceutical sciences · 2025Article
- Clinical Insights on Caloric Restriction Mimetics for Mitigating Brain Aging and Related Neurodegeneration.Cellular and molecular neurobiology · 2024Review
- Real-World Evidence Application in Translational Medicine: Making Use of Prescription Claims to Inform Drug-Drug Interactions of a New Psoriasis Treatment.Journal of clinical pharmacology · 2024Article
- Drug-Drug Interactions in Nosocomial Infections: An Updated Review for Clinicians.Pharmaceutics · 2024Review
- Article
16 more citing papers are in PubMed but not listed here.
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug interactions can have desired, reduced or unwanted effects. The probability of interactions increases with the number of drugs taken. The high rate of prescribed drugs in elderly patients (65-year-old patients take an average of 5 drugs) increases the likelihood of drug interactions and thus the risk that drugs themselves can be the cause of hospitalization. According to meta-analyses, up to 7% of hospitalizations are drug-related.
methodsSelective literature review.
resultsDrug interactions occur on pharmacodynamic and pharmacokinetic levels. Examples of pharmacodynamic interactions are simultaneous administration of a NSAID and phenprocoumon (additive interaction), or of aspirin and ibuprofen (antagonistic interaction). Pharmacokinetic interactions occur at the levels of absorption (e.g., levothyroxine and neutralizing antacids), elimination (e.g., digoxin and macrolides), and metabolism, as in the competition for cytochrome P450 enzymes (e.g., SSRIs and certain beta-blockers).
conclusionThe systematic knowledge of drug interaction, in particular on the level of absorption, elimination, transport and drug metabolism may help to prevent adverse effects. Predicting pharmacodynamic interactions often demands a deeper understanding of the mechanisms of effect. Electronic prescribing systems are helpful.
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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.