Product Images Eucrisa
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Product Label Images
The following 9 images provide visual information about the product associated with Eucrisa NDC 55724-211 by Pfizer Laboratories Div Pfizer 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.
This is a statement indicating that a certain product is distributed by Pfizer Labs, a division of Pfizer Inc in New York, zip code 10017.*
This text is indicating that Pfizer Labs is a division of Pfizer Inc, located in NY, NY 10017, and is responsible for distribution.*
Description: This appears to be a medication label for a prescription-only ointment called "Crisaborole" with a concentration of 2%. The label includes a National Drug Code and a batch code. The rest of the text contains mostly alphanumeric codes and symbols and does not provide any meaningful information.*
This is a medication called Eucrisa, which is an ointment used for topical treatment of affected areas. Each gram of the ointment contains 20 mg of crisaborole, along with other ingredients. The medication should be stored at temperatures between 20°C-25°C, with excursions permitted between 15°C-30°C. This medication is not safe for children and the tube should be kept tightly closed. Made in Spain.*
Eucrisa (crisaborole) ointment 2% is a topical medication for application to the affected areas, used as per the accompanying prescribing information. Each gram contains 20m of cisaborol in an ointment containing white petrolatum USP, propylene glycol USP, mono- and diglycerides, paraffin, butylated hydroxytoluene, and edetate calcium disodium USP. It is stored at 20°C to 25°C (68°F-77°F) with excursions permitted to 15°C-30°C (59°F-86°F) and must be kept out of the reach of children with the tube tightly closed. Eucrisa is a professional sample and is not for sale.*
* 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.