#393 ‒ AMA #85: A guide to medications and supplements: determining what to take, what to skip, and how to know if they're working for you

What It Covers

Peter Attia outlines a decision framework for evaluating medications and supplements, covering problem definition, intervention classification into four job categories, evidence thresholds, and why most longevity supplements are speculative optimization rather than proven risk reduction.

Key Questions Answered

• •Problem Definition Framework: Before taking any supplement or medication, define three specifics: the measurable metric (e.g., ApoB at 130 mg/dL), the target threshold (below 60 mg/dL), and a time horizon (six months). Vague goals like "more energy" guarantee false positives.
• •Four-Job Classification System: Categorize every intervention as disease treatment, symptom relief, risk reduction, or optimization. Each demands a different evidence bar — disease treatment warrants high risk tolerance with strong trial data; optimization warrants maximum skepticism and minimal risk tolerance.
• •Optimization vs. Risk Reduction Distinction: Most longevity supplements borrow prevention language — healthspan, resilience, aging — but deliver only speculative optimization evidence. Recognizing this misclassification prevents accepting weak mechanistic claims as validated surrogate or hard-outcome data.
• •Symptom Relief Exception: For subjective symptom relief interventions, placebo risk becomes acceptable if the lived benefit is real and measurable and the safety downside is low. Subjective improvement with minimal harm can constitute a reasonable trade-off even without rigorous trial evidence.