Results 21 to 30 of about 4,553,475 (313)

Potential drug-drug interactions and prescription errors in COVID-19 infected patients

open access: yesPublic Health and Toxicology, 2023
Introduction Prescription errors can cause havoc during the pandemic, especially for comorbid patients with diabetes and hypertension identified as a risky population group for COVID-19.
Syeda R. Tasfia   +6 more
doaj   +1 more source

Potential Adverse Drug Events and Drug–Drug Interactions with Medical and Consumer Cannabidiol (CBD) Use

open access: yesJournal of Clinical Medicine, 2019
Cannabidiol (CBD) is ubiquitous in state-based medical cannabis programs and consumer products for complementary health or recreational use. CBD has intrinsic pharmacologic effects and associated adverse drug events (ADEs) along with the potential for ...
Joshua D. Brown, A. Winterstein
semanticscholar   +1 more source

Drug–Drug Interactions Involving Intestinal and Hepatic CYP1A Enzymes

open access: yesPharmaceutics, 2020
Cytochrome P450 (CYP) 1A enzymes are considerably expressed in the human intestine and liver and involved in the biotransformation of about 10% of marketed drugs.
Florian Klomp   +3 more
semanticscholar   +1 more source

Drug-drug interactions with antiretroviral therapy among people living with HIV in Asia and other regions: Risk factors and impact on indicators of health-related quality of life

open access: yesPopulation Medicine, 2022
Introduction While studies have extensively examined the clinical and pharmacokinetic correlates of drug-drug interactions (DDIs) with antiretroviral therapy (ART), less is known about DDIs from the perspective of people living with HIV (PLHIV). Among an
Sejun Park   +11 more
doaj   +1 more source

The impact of CYP2C19 genotype on phenoconversion by concomitant medication

open access: yesFrontiers in Pharmacology, 2023
Introduction: Pharmacogenetics-informed drug prescribing is increasingly applied in clinical practice. Typically, drug metabolizing phenotypes are determined based on genetic test results, whereupon dosage or drugs are adjusted.
Laura M. de Jong   +11 more
doaj   +1 more source

Clinical Studies on Drug–Drug Interactions Involving Metabolism and Transport: Methodology, Pitfalls, and Interpretation

open access: yesClinical pharmacology and therapy, 2019
Many drug–drug interactions (DDIs) are based on alterations of the plasma concentrations of a victim drug due to another drug causing inhibition and/or induction of the metabolism or transporter‐mediated disposition of the victim drug. In the worst case,
A. Tornio   +3 more
semanticscholar   +1 more source

Role of Oatp2b1 in Drug Absorption and Drug-Drug Interactions

open access: yesDrug Metabolism And Disposition, 2020
The organic anion transporting polypeptide (OATP)2B1 is localized on the basolateral membrane of hepatocytes and is expressed in enterocytes. Based on its distribution pattern and functional similarity to OATP1B-type transporters, OATP2B1 might have a ...
Mingqing Chen   +6 more
semanticscholar   +1 more source

Drug-drug interactions with raltegravir

open access: yesEuropean Journal of Medical Research, 2009
Objective To review all currently published drug-drug interaction studies with the HIV-integrase inhibitor raltegravir. Methods A PubMed search was conducted for all published reports up to August 1, 2009 as well as a review of updated European and US ...
Burger David M
doaj   +1 more source

Data-driven prediction of adverse drug reactions induced by drug-drug interactions

open access: yesBMC Pharmacology and Toxicology, 2017
Background The expanded use of multiple drugs has increased the occurrence of adverse drug reactions (ADRs) induced by drug-drug interactions (DDIs). However, such reactions are typically not observed in clinical drug-development studies because most of ...
Ruifeng Liu   +5 more
doaj   +1 more source

Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

open access: yesBMC Bioinformatics, 2017
Drug-drug interactions (DDIs) are one of the major concerns in drug discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions in the entire lifecycle of drugs, and are important for the drug safety surveillance.
Wen Zhang   +5 more
semanticscholar   +1 more source

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