Furosemide Tablet
Product Images NDC 55154-2349

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Furosemide (NDC 55154-2349). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cardinal Health 107, 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

40mg Bag Label (21a90431 9ac5 4f34 Afbd E24842faae63 00)

This is a description of Furosemide Tablets (40 mg), a prescription drug used to treat edema and hypertension. The packaging includes 10 tablets with each tablet containing 40 mg of Furosemide. The text provides instructions for dosage and administration, storage requirements, and precautions. It also mentions that the product is distributed by Major Pharmaceuticals and Cardinal Health. The drug is intended for institutional use only and should be kept out of reach of children due to non-child-resistant packaging.*

FDA Label Image

20mg Bag Label (21a90431 9ac5 4f34 Afbd E24842faae63 01)

This text provides information about furosemide tablets, USP 20 mg, including dosage, administration instructions, storage details, and the manufacturer and distributor information. It mentions to refer to the product insert for comprehensive information and warns that the unit dose package is not child-resistant and should only be used in institutions. Manufacturers include Solco Healthcare US, LLC and distributors include Major Pharmaceuticals and Cardinal Health. For further details, visit www.majorpharmaceuticals.com.*

FDA Label Image

Structrual Formula (21a90431 9ac5 4f34 Afbd E24842faae63 02)

This text provides information about a chemical compound, specifically its molecular formula (C10H11ClNO2S) and molecular weight (330.75 g/mol).*

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