Workflow
医药供应链独立
icon
Search documents
特朗普推动美国药品降价,减重药成“精准打击”目标
Di Yi Cai Jing· 2025-05-13 10:08
Core Points - Trump's executive order aims to significantly reduce drug costs in the U.S. by linking government payments for certain drugs to lower prices in other countries, with a focus on GLP-1 drugs [1][3] - The expected price reduction for drugs could range from 59% to 90% [1] - GLP-1 weight loss drugs, such as semaglutide and tirzepatide, are highlighted as potential targets for price reductions due to their high costs in the U.S. compared to Europe [3] Group 1: Drug Pricing Disparities - In the U.S., GLP-1 drugs cost over $1,000 per month, while European patients pay about one-tenth of that price [3] - Pharmaceutical companies are already pushing for price reductions, with Novo Nordisk and Eli Lilly offering these drugs at approximately $500 per month for uninsured patients [3] - The disparity in drug pricing is attributed to differences in healthcare systems across countries, as explained by Novo Nordisk's CEO [4] Group 2: Impact on Pharmaceutical Companies - Trump's order may not enforce mandatory measures, suggesting that price reductions could be voluntary for pharmaceutical companies [4] - The U.S. pharmaceutical industry generates 70% of its profits from the American market, and significant price reductions could harm their profitability [6][7] - The Pharmaceutical Research and Manufacturers of America (PhRMA) estimates that Trump's plan could lead to a loss of up to $1 trillion for drug manufacturers over the next decade [6] Group 3: Future of Drug Pricing Negotiations - The Centers for Medicare & Medicaid Services (CMS) plans to release a list of 15 drugs eligible for price negotiations in early February [7] - The Inflation Reduction Act allows the government to negotiate prices for the most expensive drugs in the U.S., which could lead to substantial price reductions [7] - Previous negotiations have already resulted in significant price drops for drugs like Eliquis, which went from $606 to $295 per month [7]