Isosorbide Mononitrate Tablet, Extended Release
Product Images NDC 0615-7767

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Isosorbide Mononitrate (NDC 0615-7767). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Ncs Healthcare Of Ky, Llc Dba Vangard Labs, 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

Chemical-structure (Isosorbide Mononitrate Er 30mg 7767 Torrent 1)

FDA Label Image

Torrent-logo (Isosorbide Mononitrate Er 30mg 7767 Torrent 2)

FDA Label Image

Isosorbide Mononitrate Er 30mg Bingo Card Label (Isosorbide Mononitrate Er 30mg 7767 Torrent 3)

Isosorbide Mononitrate Er 30mg Bingo Card Label (Isosorbide Mononitrate Er 30mg 7767 Torrent 3)
This is a medication package for Isosorbide Mononitrate ER Tabs USP with 30mg strength. It was manufactured by Torrent Lid. for Torrent Inc. and dispensed by Omnicare, Inc. It contains Lot 7767 and is Rxonly. Dosage information can be found in the package insert or label. It is for institutional use only and should be stored at 20°- 25°C (68°- 77 F).*
FDA Label Image

Isosorbide Mononitrate Er 30mg Unit Dose Label (Isosorbide Mononitrate Er 30mg 7767 Torrent 4)

Isosorbide Mononitrate Er 30mg Unit Dose Label (Isosorbide Mononitrate Er 30mg 7767 Torrent 4)
Isosorbide Mononitrate ER Tablets USP 30 mg are indicated for the prevention of angina pectoris due to coronary artery disease. Each tablet contains 30 mg of isosorbide mononitrate. It is for institutional use only and must be stored at 20°-25°C (68°-77°F). Dispense in a tight container. Contact Vangard Labs or Torrent Inc. Glasgow, KY for more information.*

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