With the rising prevalence of obesity and related health concerns, weight reduction drugs have gained widespread use and sparked extensive discussion in online communities. This paper leverages large language models (LLMs) to analyze Reddit posts related to prominent weight loss medications, aiming to extract nuanced insights into user sentiment, reported side effects, dosage adjustments, drug-switching behavior, and demographic influences. Our findings reveal key patterns in user perceptions, highlight commonly reported adverse effects, and identify personal preferences surrounding dosage changes and medication switches. The primary aim of this research is towards a deeper understanding of the real-world impact of weight reduction drugs, offering implications for patient education, healthcare delivery, and drug development.

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