The majority of patients with cannabis use disorder (CUD) regularly take medication. Cannabinoids influence metabolism of some commonly prescribed drugs. However, little is known about the characteristics and frequency of potential cannabis-drug (CDIs) and drug-drug interactions (DDIs) in patients with CUD. Therefore, our study aimed to determine the prevalence and characteristics of drug interactions in patients with CUD during inpatient treatment on an addiction-specific ward over a six-year-period. To this aim, medication charts were analyzed and screened for potential CDIs and DDIs. Herein, the drugs.com classification for potential CDIs and UpToDate Lexicomp program for potential DDIs were utilized. The study cohort consisted of 301 patient cases, predominantly male (85.0%), with a median age of 37 years. 89.4% (269/301) of all cases involved were taking at least one drug that could potentially interact with cannabis. Levomethadone, buprenorphine and morphine were the most common drugs involved in potentially serious CDIs. In addition, 196 DDIs were identified, of which 25.5% were classified as 'avoid combination' and 74.5% as 'consider therapy modification'. Hereby, combinations of levomethadone with other psychotropic drugs most frequently accounted for potentially severe and mild DDIs. The results of our study indicate that especially patients diagnosed with CUD also receiving opioid substitution therapy are at risk for potential drug interactions. Therefore, a clinical monitoring of vigilance and respiratory function should be applied during inpatient treatment. Routine use of interaction check tools in patients diagnosed with CUD should also be considered by healthcare providers. In addition, therapeutic drug monitoring (TDM) should be used to increase medication safety in this patient population.
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http://dx.doi.org/10.1007/s00702-025-02884-5 | DOI Listing |
J Cancer Educ
January 2025
Department of Pharmacy, Al Rafidain University College, 10001, Baghdad, Iraq.
Chemotherapy-drug interactions (CDIs) pose significant challenges in oncology, affecting treatment efficacy and patient safety. Despite their importance, there is a lack of validated tools to assess oncologists' knowledge of CDIs. This study aimed to develop and validate a comprehensive questionnaire to address this gap and ensure the reliability and validity of the instrument.
View Article and Find Full Text PDFJ Neural Transm (Vienna)
January 2025
Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
The majority of patients with cannabis use disorder (CUD) regularly take medication. Cannabinoids influence metabolism of some commonly prescribed drugs. However, little is known about the characteristics and frequency of potential cannabis-drug (CDIs) and drug-drug interactions (DDIs) in patients with CUD.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Bio-System Pharmacology, Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
L-type amino acid transporter 1 (LAT1, SLC7A5), overexpressed in various cancers, mediates the uptake of essential amino acids crucial for tumor growth. It has emerged as a promising target for cancer therapy. Nanvuranlat (JPH203/KYT-0353), a LAT1 inhibitor, has shown antitumor activity in preclinical studies and efficacy in biliary tract cancer during clinical trials.
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January 2025
Faculty of Medical Technology, Prince of Songkla University, Songkhla, 90110, Thailand.
Chamuangone, a compound extracted from the leaves of Garcinia cowa, exhibits various biological activities. Yet, its absorption, distribution, metabolism, excretion, and toxicity (ADMET) profile as well as anti-inflammatory effects in macrophages remain unexplored. In this study, we employed a computational tool to predict the ADMET profile of chamuangone and performed molecular docking simulations to assess its interactions with key proteins involved in inflammatory pathways.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising global health concerns due to its unprecedented spread in non-endemic regions. Recent studies have shown that Clade IIb (2022 MPXV) is marked by unique genomic mutations and epidemiological behaviors, suggesting variations in host-virus interactions. This study aimed to identify the differentially expressed genes (DEGs) induced by the 2022 MPXV infection through comprehensive bioinformatics analyses of microarray and RNA-Seq datasets from post-infected cell types with different MPXV clades.
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