Product Images Sevelamer Carbonate

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Product Label Images

The following 7 images provide visual information about the product associated with Sevelamer Carbonate NDC 0955-1052 by Winthrop U.s, A Business Of Sanofi-aventis U.s. Llc, 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.

Chemical Structure - sevelamer 01

Chemical Structure - sevelamer 01

Figure 2 - sevelamer 02

Figure 2 - sevelamer 02

Figure 3 - sevelamer 03

Figure 3 - sevelamer 03

Figure 4 - sevelamer 04

Figure 4 - sevelamer 04

Principal Display Panel - 800 mg Bottle Label - sevelamer 05

Principal Display Panel - 800 mg Bottle Label - sevelamer 05

This is a description for a medication called Sevelamer Carbonate Tablets, 800 mg. It contains certain active ingredients and inactive components. It is advised to store the medication in a tight container at a temperature of 25°C and to protect it from moisture. The packaging has the NDC number 0955-1050-27 and is only available with a prescription. The recommended dosage is given in the package insert. The medication is manufactured for Winthrop U.S., a business of Sanofi-aventis US, LLC. There are 270 film-coated tablets in the package. The text includes the GTIN number 0030551050275 and the DOM identifier.*

Principal Display Panel - 0.8 g Packet Box - sevelamer 06

Principal Display Panel - 0.8 g Packet Box - sevelamer 06

This is a medical product related text that provides information about Sevelamer Carbonate that is manufactured by Winthrop and is available as an oral suspension in packets containing 90 sachets. The brand name of the medication is Sanofi, and the text includes some additional details such as the dosage of the medication.*

Principal Display Panel - 2.4 g Packet Box - sevelamer 07

Principal Display Panel - 2.4 g Packet Box - sevelamer 07

* 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.