Metoprolol Succinate Tablet, Extended Release
Product Images NDC 72789-497

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Metoprolol Succinate (NDC 72789-497). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Pd-rx Pharmaceuticals, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

72789497 Label (72789497)

This is a medication label for Metoprolol, a drug used to treat high blood pressure, chest pain, and heart failure. The label contains important instructions: Do not abruptly stop taking the medication without consulting a physician, do not crush or chew the tablets. It provides details about the dosage (50mg), quantity (90 tablets), and expiration date (08/2026). The label also advises to call a doctor for medical advice about side effects and how to report side effects to the FDA. The medication is in tablet form and should be taken a specific number of times per day as prescribed by a healthcare provider.*

FDA Label Image

Figure (Figure001)

This text appears to be a statistical analysis of the results for subgroups in the MERIT-HF study on the Total Mortality or All-Cause Hospitalization with regards to the effects of Wetoprolol Succinate Extended-Release Tablets. It provides information on factors such as EF (ejection fraction), Ischemic and non-ischemic etiology, sex, race, previous medical history (MI, diabetes, hypertension), and heart rate. The study also mentions relative risk and 95% confidence interval related to myocardial infarction, and provides explanations for abbreviations used like US (United States), NYHA (New York Heart Association), EF (ejection fraction), and HR (heart rate).*

FDA Label Image

Structure (Structure001)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.