What type of study is this?

This is a Systematic Review study.

September 28, 2025

A systematic mapping review on the capability of large language models in drug-drug interaction analysis

HMHimel MondalAll India Institute of Medical Sciences, Deoghar IDIpsita DashPatna Medical College and Hospital SMShaikat MondalRaiganj University

Key Points

Large language models may improve identification of drug-drug interactions, impacting patient safety and treatment outcomes.
Current evidence indicates that LLM-based chatbots perform variably in drug-drug interaction analysis.
A systematic review assesses the capability of LLMs, focusing on their effectiveness for DDI evaluations.
Identifying gaps in evidence on large language models is crucial for leveraging their potential in drug safety.

Abstract

Background Drug-drug interaction (DDI) is a global health concern affecting patient safety and treatment outcomes. Large language models (LLMs), such as ChatGPT, offer accessible alternatives; however, their effectiveness in DDI analysis remains unclear. This review evaluates the current evidence on the performance of LLM-based chatbots in identifying DDIs.

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