Product Images Irbesartan
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Irbesartan NDC 0955-1040 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 - irbesartan 01
Figure 1 - irbesartan 02
Figure 2 - irbesartan 03
Figure 3 - irbesartan 04
PRINCIPAL DISPLAY PANEL - 75 mg Tablet Bottle Label - irbesartan 05
This is a package insert for a medication called rbesartan. Each tablet contains 75 mg of the medication. The insert provides dosing information and storage instructions. The medication is manufactured by Winthrop U.S., a business of Sanofi-Aventis U.S. LLC, located in Bridgewater, NJ. The text also includes some unclear characters and symbols.*
PRINCIPAL DISPLAY PANEL - 150 mg Tablet Bottle Label - irbesartan 06
Each tablet of the medicine contains 150 mg of irbesartan. Dosage information is included in the package insert. The recommended storage temperature is between 15°C-30°C (59°F-86°F) with excursions permitted to 25°C (77°F). The medicine is manufactured by Winthrop USS., a business of sanofi-aventi U, LLC. The text also mentions a company called SANOF and that the origin of the medicine was Hungary.*
PRINCIPAL DISPLAY PANEL - 300 mg Tablet Bottle Label - irbesartan 07
This is a description of a medication called Irbesartan produced by Sanofi. The medication comes in tablet form containing 300mg of Irbesartan per tablet. The package contains 90 tablets and the dosing information can be found in the package insert. The medication should be stored at room temperature, between 15°C-30°C (59°F-86°F). It is manufactured by Winthrop U, a business of Sanofi-aventis US, LLC. The NDC (National Drug Code) is 0955-1042-90.*
* 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.