Nitroglycerin Tablet
Product Images NDC 71872-7368

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 Nitroglycerin (NDC 71872-7368). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Medical Purchasing Solutions, 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

7368.pdp (7368)

7368.pdp (7368)
This is information about Nitroglycerin Sublingual Tablets, USP, with a dosage of 0.4 mg per tablet and a bottle containing 25 tablets. The text includes details on how to store the medication, dispensing guidelines, and instructions not to crush, chew, or swallow the tablets. It also highlights the importance of keeping the medication out of reach of children and seeking medical attention if experiencing abnormal symptoms. Additionally, it provides information on the repackaged medical purchasing solutions and the contact details for purchasing.*
FDA Label Image

7368m.pdp (7368m)

7368m.pdp (7368m)
Each tablet contains 0.4 mg of nitroglycerin for sublingual use, which should be stored at a temperature between 20° to 25°C. It is important to keep the tablets in their original container, tightly closed to maintain potency. The medication guide and package insert can be found online. These sublingual tablets should not be crushed, chewed, or swallowed. This prescription drug should be kept out of the reach of children. For dosage and usage instructions, see the accompanying prescribing information. Comply with patient packaging instructions and only dispense under prescription.*
FDA Label Image

Nitroglycerin Chemical Structure (Nitroglycerin Sublingual Tabs Usp Structure)

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