Detecting Hidden Drug Risks by AI Powered Multiple-Drug-Drug Interaction (MDDI) Analysis: The Apixaban Case

Introduction The “clinical implications of co-administering apixaban with key interacting medications” were recently published by Favatella et al. in 2024 [1]. The authors stated that the multiple organ and metabolic pathways for apixaban clearance are expected to minimize the potential for large increases in apixaban exposure. However, this opinion might not apply when multiple mechanisms of drug clearance and inactivation are inhibited concomitantly as Isoherranen et al. have pointed to in a very convincing manner [2] and as shown in the in-vivo studies by Niemi et al. demonstrating huge increases of drug exposure caused by multiple enzyme inhibition in the triple drug interactions “repaglinide – itraconazole – gemfibrozil” and “loperamide – itraconazole – gemfibrozil” [3,4] (Table 1).

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-27
DOI
https://doi.org/10.5281/zenodo.16981426
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detecting Hidden Drug Risks by AI Powered Multiple-Drug-Drug Interaction (MDDI) Analysis: The Apixaban Case

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Detecting Hidden Drug Risks by AI Powered Multiple-Drug-Drug Interaction (MDDI) Analysis: The Apixaban Case

article en

Abstract

Introduction The “clinical implications of co-administering apixaban with key interacting medications” were recently published by Favatella et al. in 2024 [1]. The authors stated that the multiple organ and metabolic pathways for apixaban clearance are expected to minimize the potential for large increases in apixaban exposure. However, this opinion might not apply when multiple mechanisms of drug clearance and inactivation are inhibited concomitantly as Isoherranen et al. have pointed to in a very convincing manner [2] and as shown in the in-vivo studies by Niemi et al. demonstrating huge increases of drug exposure caused by multiple enzyme inhibition in the triple drug interactions “repaglinide – itraconazole – gemfibrozil” and “loperamide – itraconazole – gemfibrozil” [3,4] (Table 1).

Zenodo (CERN European Organization for Nuclear Research)
New York University (US)
Good health and well-being
Openalex Percentile: Top 63%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detecting Hidden Drug Risks by AI Powered Multiple-Drug-Drug Interaction (MDDI) Analysis: The Apixaban Case · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS