Product Images Isosorbide Mononitrate

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Product Label Images

The following 3 images provide visual information about the product associated with Isosorbide Mononitrate NDC 21695-777 by Rebel Distributors Corp, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Structural Formula - cc6293ae 1f81 4670 84b2 c00422c690ca 01

Structural Formula - cc6293ae 1f81 4670 84b2 c00422c690ca 01

Isosorbide Mononitrate 60mg - cc6293ae 1f81 4670 84b2 c00422c690ca 02

Isosorbide Mononitrate 60mg - cc6293ae 1f81 4670 84b2 c00422c690ca 02

This is a prescription medication called Isosorbide Mononitrate, available in the form of 60mg E.R. Tablets, with a lot number of 00000 and an expiration date of 00/00/00. Each tablet contains 60mg of Isosorbide Mononitrate and is manufactured by Kremers Urban, LLC. The product ID is PI083730, and the National Drug Code is 21695-837-30. The medication is available only on a doctor's prescription and must be kept out of the reach of children.*

Isosorbide Mononitrate 120mg - cc6293ae 1f81 4670 84b2 c00422c690ca 03

Isosorbide Mononitrate 120mg - cc6293ae 1f81 4670 84b2 c00422c690ca 03

This is a description of Isosorbide Mononitrate 120mg extended-release tablets, in a bottle of 30 tablets with a prescription label. The National Drug Code (NDC) for this medication is 21695-777-30 and has an average wholesale price of $45.65. It is manufactured by Kremers Urban in Princeton, NJ, USA. The tablets are white, capsule-shaped, and inscribed with "KU 129" on one side. The medication is used to prevent chest pain caused by reduced blood flow to the heart. Store the medicine in a controlled room temperature, out of reach of children. The text also includes pharmaceutical-specific details such as lot number, expiration date, and the drug's physical composition.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.