Product Images Solifenacin Succinate

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Product Label Images

The following 3 images provide visual information about the product associated with Solifenacin Succinate NDC 71205-934 by Proficient Rx Lp, 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.

71205-934-30 - 10mg 90ct bottle wp

71205-934-30 - 10mg 90ct bottle wp

Solifenacin Succinate is a prescription medication with a strength of 10mg that is available in the form of a round, film-coated, biconvex yellow tablet debossed with AP29 on one side and plain on the other side. It is distributed by Westminster Pharmaceuticals and packaged by Proficient Rx. The tablets come in a package of 30 and the National Drug Code (NDC) is 71205-93. The tablets should be stored at a temperature of 25°C and kept out of the reach of children. The tablet's GTIN is 0371205934309, SN number is MASTER, Expiration date is 00/00/00, and the Lot number is 00000.*

71205-933-30 - 5mg 90ct bottle wp

71205-933-30 - 5mg 90ct bottle wp

This is a description of Solifenacin Succinate 5mg tablets, a prescription medication distributed by Westminster Pharmaceuticals, LLC in Nashville, TN. Each bottle contains 30 round, biconvex, yellow, film-coated tablets with "AP28" stamped on one side. The medication is to be stored at 25°C and kept out of the reach of children. The product ID is QS093330 and the GTIN is 0037120593302. The lot number is 00000 and the expiration date is not available.*

structure-solifenacin - structure solifenacin

structure-solifenacin - structure solifenacin

This is the chemical formula for oxalic acid, which has the molecular formula C2H2O4. It is a colorless, crystalline, toxic organic compound. Oxalic acid is widely used as a reducing agent and a chelating agent in industrial processes. It is also present in some fruits and vegetables, such as spinach and rhubarb.*

* 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.