Product Images Divalproex Sodium

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Product Label Images

The following 9 images provide visual information about the product associated with Divalproex Sodium NDC 70518-3457 by Remedyrepack Inc., 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.

MM2 - Divalproex Sodium 125mg 70518 3457 01

MM2 - Divalproex Sodium 125mg 70518 3457 01

This is a description of a prescription medication containing Divalproex Sodium in a 125mg Delayed-Release Capsule. The medication is repackaged by RemedyRepack Inc. and distributed by Ajanta Pharma USA Inc. The directions for use can be found in the package insert, and it is recommended to store the medication at 20-25°C, with excursions permitted up to 15-30°C. NDC# and LOT# were provided, but expiration date was not available. It is advised to keep the medication out of the reach of children.*

Remedy_Label - Remedy Label

Remedy_Label - Remedy Label

This is a medication with the generic name Divalproex Sodium, available in the form of capsules of 125 mg strength. The medicine is packaged by RemedyRepack and comes in a box containing 100 capsules. The recommended storage temperature is between 20-25°C. The package insert should be consulted for dosage instructions. The medication should be kept out of reach of children. The remaining text includes information on the manufacturer and lot number, but it is not possible to determine the expiration date from the given text.*

figure3 - divalproex fig3

figure3 - divalproex fig3

figure4 - divalproex fig4

figure4 - divalproex fig4

figure5 - divalproex fig5

figure5 - divalproex fig5

figure6 - divalproex fig6

figure6 - divalproex fig6

figure1 - divalproex figure1

figure1 - divalproex figure1

figure2 - divalproex figure2

figure2 - divalproex figure2

structure - divalproex structure

structure - divalproex structure

* 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.