Product Images Desvenlafaxine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Desvenlafaxine NDC 70518-4059 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.
Remedy_Label - Remedy Label
This is a description of Desvenlafaxine Extended-Release 25 mg tablets in a quantity of 90 tablets. It is a prescription medication manufactured by Breckenridge in Boca Raton, FL. The medication should be kept out of the reach of children and swallowed whole, without crushing, cutting, chewing, or dissolving the tablets. The storage instructions advise keeping it between 20-25°C (58-77°F) with excursions permitted to 15.30°C (59-86°F). This specific batch was repackaged by RemedyRepack Inc. in Indiana, PA.*
Figure 1 - desvenlafaxine figure1
This text provides a comparison of pharmacokinetic parameters in individuals with renal and hepatic impairment, as well as specific information related to the population description such as gender and age groups. The data presented includes geometric mean ratios with 90% confidence intervals for Cmax and AUC, categorized by different levels of impairment and population characteristics. The study also highlights changes relative to the reference values, with a specific focus on end-stage renal disease (ESRD).*
Figure 2 - desvenlafaxine figure2
Figure 3 - desvenlafaxine figure3
Figure 4 - desvenlafaxine image4
Figure 5 - desvenlafaxine image5
This text presents data on the estimated proportion of patients with relapse (%) over time intervals and the time to relapse (days from randomization) for Desvenlafaxine Extended-Release Tablets compared to Placebo. The graph may show a comparison of relapse rates and time to relapse between the two groups.*
Structure - desvenlafaxine structure1
* 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.
