Metoprolol Succinate Tablet, Extended Release
Product Images NDC 51655-239

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Metoprolol Succinate (NDC 51655-239). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Northwind Health Company, Llc, 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

Label (51655 239 52 Rev A 03 23)

Label (51655 239 52   Rev A 03 23)
This is a medication called Metoprolol Succinate, which comes in the form of extended-release tablets that are only available through a prescription. The tablets come in a bottle containing 30 tablets, each having a strength of 25mg. The packaging provides instructions on how to use the medication (check the package insert), store it, and keep it out of reach of children. The tablets are manufactured by Slate Run Pharmaceuticals, LLC and are repackaged by Northwind Pharmaceuticals. The other details provided include the NDC number, dosage equivalency, LCN number, repackage details, GTIN, serial number, lot number, and expiration date (all are specific identifiers used in the pharmaceutical industry).*
FDA Label Image

Picture-1 (Picture 1)

Picture-1 (Picture 1)
Results for subgroups in the MERIT-HF trial evaluating the total mortality and hospitalization for heart failure. The table presents the relative risk and 95% confidence interval for various subgroups such as NYHA classification, ejection fraction, sex, ethnicity, and previous medical conditions such as myocardial infarction and diabetes mellitus. The trial took place in the United States, and HR (heart rate) was also evaluated.*
FDA Label Image

Structure (Structure)

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