Determination of the cause -effect relationship of "Undesirable drug reactions": algorithms Naranjo, Karch. Classification of undesirable drug reactions (WHO)

An undesirable drug reaction (UDR) refers to any harmful or unintended effect caused by a medication that occurs at doses typically used for the prevention, diagnosis, or treatment of disease. These reactions can be classified into various categories based on their severity, time of onset, and mechanisms. Determining the cause-effect relationship of UDRs is essential for effective drug safety management, patient care, and regulatory decision-making. This article explores two widely used algorithms for assessing the causality of undesirable drug reactions: the Naranjo and Karch algorithms. Additionally, the WHO classification system for undesirable drug reactions is discussed, highlighting the categories of reactions and their clinical implications. The paper aims to provide comprehensive insight into the assessment, classification, and management of undesirable drug reactions in clinical practice, emphasizing the importance of careful monitoring and patient safety in pharmacotherapy

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-29
DOI
https://doi.org/10.5281/zenodo.15305931
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determination of the cause -effect relationship of "Undesirable drug reactions": algorithms Naranjo, Karch. Classification of undesirable drug reactions (WHO)

Zenodo (CERN European Organization for Nuclear Research)
Pharmacovigilance and Adverse Drug Reactions
article

Determination of the cause -effect relationship of "Undesirable drug reactions": algorithms Naranjo, Karch. Classification of undesirable drug reactions (WHO)

article en

Abstract

An undesirable drug reaction (UDR) refers to any harmful or unintended effect caused by a medication that occurs at doses typically used for the prevention, diagnosis, or treatment of disease. These reactions can be classified into various categories based on their severity, time of onset, and mechanisms. Determining the cause-effect relationship of UDRs is essential for effective drug safety management, patient care, and regulatory decision-making. This article explores two widely used algorithms for assessing the causality of undesirable drug reactions: the Naranjo and Karch algorithms. Additionally, the WHO classification system for undesirable drug reactions is discussed, highlighting the categories of reactions and their clinical implications. The paper aims to provide comprehensive insight into the assessment, classification, and management of undesirable drug reactions in clinical practice, emphasizing the importance of careful monitoring and patient safety in pharmacotherapy

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 50%
Pharmacovigilance and Adverse Drug Reactions
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.