Bisoprolol Fumarate Tablet, Film Coated
Product Images NDC 62332-604

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Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Bisoprolol Fumarate (NDC 62332-604). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Alembic 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

30 Tablets (Bisoprolol mg10)

30 Tablets (Bisoprolol mg10)
This is a description for a prescription drug called "Bisoprolol Fumarate" in tablet form. The package contains 30 tablets and has a National Drug Code (NDC) of 62332-604-30. The medication should be kept out of reach of children and stored away from light and moisture at a controlled room temperature between 20° to 25°C (68° to 77°F). The manufacturer is a company called Alembic Pharmaceuticals and it is produced in Gujarat, India. The package includes important information about the medication and should only be dispensed with a complete prescription.*
FDA Label Image

30 Tablets (Bisoprolol mg5)

30 Tablets (Bisoprolol mg5)
Each tablet contains Bisoprolol Fumarate 5mg. Usual dosage to be found in accompanying package insert for complete prescribing information. Manufactured by Alembic Pharmaceuticals Limited, Formulation Division in Gujarat, India and by Alembic Pharmaceuticals, Inc. in Bedminster, NJ, USA. The tablets are dispensed in a tight, light-resistant container as defined in the USP with a child-resistant closure as required. Store between 20°C to 25°C and protect from light and moisture. This is a prescription medication and should be kept out of reach of children. Lot number and other coded information are included on the packaging.*
FDA Label Image

Structure (Bisoprolol Structure)

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