Marisa Fiordelisi, Simona Masucci, Alessandra Bianco, Marco Bellero, Diana Toma, Nicoletta Campo, Clizia Zichi, Donatella Marino, Elisa Sperti, Giorgio Valabrega, Clara Cena, Giovanna Fazzina, Annalisa Gasco
{"title":"ChatGPT 是临床药剂师在验证草药与药物相互作用时的盟友:潜力与局限性。","authors":"Marisa Fiordelisi, Simona Masucci, Alessandra Bianco, Marco Bellero, Diana Toma, Nicoletta Campo, Clizia Zichi, Donatella Marino, Elisa Sperti, Giorgio Valabrega, Clara Cena, Giovanna Fazzina, Annalisa Gasco","doi":"10.1701/4365.43601","DOIUrl":null,"url":null,"abstract":"<p><p>This study explores the potential use of ChatGPT, an AI-based language model, in assessing herbal-drug interactions (HDi) to enhance clinical decision-making. HDi can pose significant health risks by reducing drug efficacy or causing unwanted side effects. Clinical pharmacists play a key role in identifying these HDIs, and currently, there are limited tools available for checking drug interactions. The research focuses on a case study of a rectal adenocarcinoma patient treated with capecitabine and 26 supplements, which contain a total of 80 herbal substances. ChatGPT 3.5 was asked three questions regarding potential HDIs: \"Are there possible HDIs?\", \"What is the pharmacokinetic mechanism?\", and \"What is the bibliographic source of the interaction?\". The results were reviewed by an oncology clinical pharmacist and compared to existing databases and independent bibliographic research. The findings highlight ChatGPT's advantage in processing large amounts of data quickly, with 16% of interactions classified as \"unlikely\", confirmed by the pharmacist. However, 73% of the suggested mechanisms were false positives, and 4% were categorized as \"hallucinations\". Additionally, most of the bibliographic sources provided by ChatGPT were outdated or unavailable. While ChatGPT proves useful for initial HDI screening, its limitations include outdated data (last updated in January 2022), lack of access to private databases, and occasional inaccuracies. Further applications of AI in this area are recommended, though expert validation remains essential in the clinical decision-making process.</p>","PeriodicalId":20887,"journal":{"name":"Recenti progressi in medicina","volume":"115 11","pages":"558-559"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ChatGPT, alleato del farmacista clinico nella verifica delle herbal-drug interactions: potenzialità e limiti.\",\"authors\":\"Marisa Fiordelisi, Simona Masucci, Alessandra Bianco, Marco Bellero, Diana Toma, Nicoletta Campo, Clizia Zichi, Donatella Marino, Elisa Sperti, Giorgio Valabrega, Clara Cena, Giovanna Fazzina, Annalisa Gasco\",\"doi\":\"10.1701/4365.43601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study explores the potential use of ChatGPT, an AI-based language model, in assessing herbal-drug interactions (HDi) to enhance clinical decision-making. HDi can pose significant health risks by reducing drug efficacy or causing unwanted side effects. Clinical pharmacists play a key role in identifying these HDIs, and currently, there are limited tools available for checking drug interactions. The research focuses on a case study of a rectal adenocarcinoma patient treated with capecitabine and 26 supplements, which contain a total of 80 herbal substances. ChatGPT 3.5 was asked three questions regarding potential HDIs: \\\"Are there possible HDIs?\\\", \\\"What is the pharmacokinetic mechanism?\\\", and \\\"What is the bibliographic source of the interaction?\\\". The results were reviewed by an oncology clinical pharmacist and compared to existing databases and independent bibliographic research. The findings highlight ChatGPT's advantage in processing large amounts of data quickly, with 16% of interactions classified as \\\"unlikely\\\", confirmed by the pharmacist. However, 73% of the suggested mechanisms were false positives, and 4% were categorized as \\\"hallucinations\\\". Additionally, most of the bibliographic sources provided by ChatGPT were outdated or unavailable. While ChatGPT proves useful for initial HDI screening, its limitations include outdated data (last updated in January 2022), lack of access to private databases, and occasional inaccuracies. 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ChatGPT, alleato del farmacista clinico nella verifica delle herbal-drug interactions: potenzialità e limiti.
This study explores the potential use of ChatGPT, an AI-based language model, in assessing herbal-drug interactions (HDi) to enhance clinical decision-making. HDi can pose significant health risks by reducing drug efficacy or causing unwanted side effects. Clinical pharmacists play a key role in identifying these HDIs, and currently, there are limited tools available for checking drug interactions. The research focuses on a case study of a rectal adenocarcinoma patient treated with capecitabine and 26 supplements, which contain a total of 80 herbal substances. ChatGPT 3.5 was asked three questions regarding potential HDIs: "Are there possible HDIs?", "What is the pharmacokinetic mechanism?", and "What is the bibliographic source of the interaction?". The results were reviewed by an oncology clinical pharmacist and compared to existing databases and independent bibliographic research. The findings highlight ChatGPT's advantage in processing large amounts of data quickly, with 16% of interactions classified as "unlikely", confirmed by the pharmacist. However, 73% of the suggested mechanisms were false positives, and 4% were categorized as "hallucinations". Additionally, most of the bibliographic sources provided by ChatGPT were outdated or unavailable. While ChatGPT proves useful for initial HDI screening, its limitations include outdated data (last updated in January 2022), lack of access to private databases, and occasional inaccuracies. Further applications of AI in this area are recommended, though expert validation remains essential in the clinical decision-making process.
期刊介绍:
Giunta ormai al sessantesimo anno, Recenti Progressi in Medicina continua a costituire un sicuro punto di riferimento ed uno strumento di lavoro fondamentale per l"ampliamento dell"orizzonte culturale del medico italiano. Recenti Progressi in Medicina è una rivista di medicina interna. Ciò significa il recupero di un"ottica globale e integrata, idonea ad evitare sia i particolarismi della informazione specialistica sia la frammentazione di quella generalista.