Nitroglycerin Tablet
Product Images NDC 71872-7300

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 71872-7300). 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, Ll, 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

Nitr Vial (Nitr Vial)

Nitr Vial (Nitr Vial)
Each tablet contains 2 mg of Nitroglycerin for sublingual use with a warning to be taken immediately after chewing or swallowing a maximum of 5 doses. It is a prescription-only drug and must be kept out of the reach of children. This information is dispensed by an accompanying patient leaflet, which should be followed along with other drugs to avoid interaction. The manufacturer is ASH Pharmacieas LG, located in Upper St. Aer, W80k.*
FDA Label Image

Nitroglycerin (Nitroglycerin)

Nitroglycerin (Nitroglycerin)
This is the description: "Nitroglycerin Sublingual Tablets, USP for relieving chest pain. The tablets come in a bottle containing 25 tablets with the dosage of 0.4 mg per tablet. The pharmacist should dispense the patient information separately provided with the tablets. The tablets should be stored at the temperature range of 20°C to 25°C. The patients should not crush, chew, or swallow the tablets; instead, they are required to take them sublingually. The tablets may cause a burning or stinging sensation in the mouth. If the patient experiences severe pain, prompt medical attention is recommended. The manufacturer of the tablets is Natco Pharma Ltd in India, and they are repackaged and distributed by Medical Purchasing Solutions in AZ."*
FDA Label Image

Structure (Structure)

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