Isosorbide Dinitrate Tablet
Product Images NDC 50268-447

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Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Isosorbide Dinitrate (NDC 50268-447). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Avpak, 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

3 (10mg)

3 (10mg)
This is a description for Isosorbide Dinitrate Tablets (USP) with 10 milligrams of active ingredient per tablet. The product is meant for oral use only and requires a prescription. Each unit dose contains 5 packs of 10 tablets each, totaling to 50 tablets. The usual dosage information is not provided, and it is suggested to read the accompanying literature. The medication should be stored at room temperature, approximately 25°C and protected from light. This is a product of AvKare Inc, based in Pulaski, TN.*
FDA Label Image

Label 1 (Screen Shot 2016 09 13 At 10.05.07 Am)

Label 1 (Screen Shot 2016 09 13 At 10.05.07 Am)
This is a description of Isosorbide Dinitrate, a medication in tablet form taken orally. The tablets are available in unit dose packages of 10 and require a prescription. There may be some typos or errors in the text, as some of the characters are not readable.*
FDA Label Image

Label 2 (Screen Shot 2016 09 13 At 10.05.33 Am)

Label 2 (Screen Shot 2016 09 13 At 10.05.33 Am)
Isosorbide Dinitrate Tablets, USP are an oral medication used in the treatment of angina. Each tablet contains 20mg of the active ingredient. The package includes 50 tablets in unit doses of 5 or 10. The output also includes some illegible characters, so the description only includes the readable text.*
FDA Label Image

This Is The Structural Formula (Strucutre)

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