Background: Glucagon-like peptide-1 receptor agonists are increasingly prescribed for weight loss, but concerns remain regarding adverse events beyond gastrointestinal, renal, and pancreatic effects. Understanding these risks is essential to guide safe clinical application and public health policy. The study aims to characterize psychiatric risks, administration-related adverse events, and patterns of inappropriate use associated with semaglutide, liraglutide, and tirzepatide for weight management. Methods: Disproportionality analysis using proportional reporting ratios and reporting odds ratios was conducted to detect significant signals in adverse event reports within the U.S. Food and Drug Administration Adverse Event Reporting System, identifying semaglutide, liraglutide, or tirzepatide as drugs used for weight loss while excluding gastrointestinal, renal, and pancreatic adverse events. Results: Among 40,253 adverse event reports (68.6% female; median ages: semaglutide, 62 years; liraglutide, 59 years; tirzepatide, 53 years), semaglutide demonstrated the strongest disproportionality signal for psychiatric adverse events, notably anxiety (PRR 1.34, 95% CI 1.18–1.51), depression (PRR 1.83, 95% CI 1.62–2.07), and suicidal ideation (PRR 3.44, 95% CI 2.98–3.97). Tirzepatide showed markedly higher signals for injection-site reactions (PRR 7.98, 95% CI 7.8–8.18) and inappropriate use, including incorrect dosing and off-label administration (PRR 5.98, 95% CI 5.9–6.06). Conclusions: In real-world use, semaglutide is disproportionately associated with psychiatric adverse events, whereas tirzepatide demonstrates higher rates of injection-site complications and misuse. Liraglutide presents a comparatively lower risk profile. These findings underscore the need for vigilant psychiatric monitoring, patient education on injection technique and dosing, and stronger regulatory oversight to reduce misuse of GLP-1 receptor agonists for weight loss.
Building similarity graph...
Analyzing shared references across papers
Loading...
Ali Hindi
Mohamed A. Mekkawy
Hala Shokr
Pharmaceuticals
University of Manchester
Alexandria University
Building similarity graph...
Analyzing shared references across papers
Loading...
Hindi et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a287b00a974eb0d3c03a42 — DOI: https://doi.org/10.3390/ph19030365