Abdullah Al Lawati, Ayman Alhabsi, Rhieya Rahul, Maria-Luisa Savino, Hamed Alwahaibi, Srijit Das, Hanan Al Lawati
{"title":"Current and Emerging Parenteral and Peroral Medications for Weight Loss: A Narrative Review.","authors":"Abdullah Al Lawati, Ayman Alhabsi, Rhieya Rahul, Maria-Luisa Savino, Hamed Alwahaibi, Srijit Das, Hanan Al Lawati","doi":"10.3390/diseases13050129","DOIUrl":null,"url":null,"abstract":"<p><p>Obesity is a growing global health challenge, necessitating effective treatment options beyond lifestyle interventions. This narrative review explores established and emerging pharmacotherapies for weight management, including parenteral agents like Liraglutide, Semaglutide, Setmelanotide, and Tirzepatide, as well as peroral medications such as Phentermine, Phentermine/Topiramate, Bupropion/Naltrexone, Orlistat, and Metformin. Newer treatments like Cagrilintide and Bimagrumab show promise for enhancing weight loss outcomes. Parenteral GLP-1 receptor agonists demonstrate superior efficacy compared to traditional peroral medications, with gastrointestinal side effects being the most common. Artificial intelligence presents intriguing opportunities to enhance weight loss strategies; however, its integration into clinical practice remains investigational and requires rigorous clinical validation. While current anti-obesity medications deliver significant benefits, future research must determine the efficacy, safety, and cost-effectiveness of AI-driven approaches. This includes exploring how AI can complement combination therapies and tailor personalized interventions, thereby grounding its potential benefits in robust clinical evidence. Future directions will focus on integrating AI into clinical trials to refine and personalize obesity management strategies.</p>","PeriodicalId":72832,"journal":{"name":"Diseases (Basel, Switzerland)","volume":"13 5","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12110573/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diseases (Basel, Switzerland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/diseases13050129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Obesity is a growing global health challenge, necessitating effective treatment options beyond lifestyle interventions. This narrative review explores established and emerging pharmacotherapies for weight management, including parenteral agents like Liraglutide, Semaglutide, Setmelanotide, and Tirzepatide, as well as peroral medications such as Phentermine, Phentermine/Topiramate, Bupropion/Naltrexone, Orlistat, and Metformin. Newer treatments like Cagrilintide and Bimagrumab show promise for enhancing weight loss outcomes. Parenteral GLP-1 receptor agonists demonstrate superior efficacy compared to traditional peroral medications, with gastrointestinal side effects being the most common. Artificial intelligence presents intriguing opportunities to enhance weight loss strategies; however, its integration into clinical practice remains investigational and requires rigorous clinical validation. While current anti-obesity medications deliver significant benefits, future research must determine the efficacy, safety, and cost-effectiveness of AI-driven approaches. This includes exploring how AI can complement combination therapies and tailor personalized interventions, thereby grounding its potential benefits in robust clinical evidence. Future directions will focus on integrating AI into clinical trials to refine and personalize obesity management strategies.