Product Images Divalproex Sodium

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Product Label Images

The following 5 images provide visual information about the product associated with Divalproex Sodium NDC 67296-1677 by Redpharm Drug, 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.

LABEL - DIVALPROEX 1677

LABEL - DIVALPROEX 1677

This is a description of a prescription drug called Divalproex Sodium ER. Each tablet contains 250mg and there are 10 tablets in the package. It is only available through a prescription. There is information about the lot number and expiration date on the package. The recommended dosage and other important information are available in the package insert. The drug should be stored at a controlled room temperature between 20-25 degrees Celsius (68-77 degrees Fahrenheit). The drug is distributed by Redpharm Drug in Eden Prairie, Minnesota.*

10 - divalproex sodium extended release tablets usp 1

10 - divalproex sodium extended release tablets usp 1

Figure 1 - divalproex sodium extended release tablets usp 2

Figure 1 - divalproex sodium extended release tablets usp 2

Figure 2 - divalproex sodium extended release tablets usp 3

Figure 2 - divalproex sodium extended release tablets usp 3

This appears to be a graph with the title "% Reduction in CPS Rate". The graph shows two columns with the labels "High Dose Divalproex Sodium" and "Low Dose Divaloroex Sodium". There is a vertical axis labeled "% of Patients" and a horizontal axis labeled "Improvement", with markers for "No Change" and "Worsening". The graph indicates the percentage of patients who experienced improvement in CPS (Central Processing System) rate for both high and low doses of Divalproex Sodium.*

Figure 3 - divalproex sodium extended release tablets usp 4

Figure 3 - divalproex sodium extended release tablets usp 4

* 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.