Product Images North American Coral Snake Antivenin (equine)

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Product Label Images

The following 3 images provide visual information about the product associated with North American Coral Snake Antivenin (equine) NDC 0008-0423 by Wyeth Pharmaceuticals Llc, A Subsidiary Of 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.

Logo - antivenin 01

Logo - antivenin 01

This is a description of the manufacturer of a pharmaceutical product called 'Wyeth Pharmaceuticals LLC'. The company is a subsidiary of Pfizer Inc, located in Philadelphia with a postal code of 19101.*

PRINCIPAL DISPLAY PANEL - 10 mL Vial Label - antivenin 02

PRINCIPAL DISPLAY PANEL - 10 mL Vial Label - antivenin 02

This appears to be a section of a pharmaceutical product label for a coral snake antivenin. It includes information about dosage and use, prescribing information, reconstitution instructions, and the manufacturer. The NDC (National Drug Code) and a government license number are also listed. However, the illegible characters and lack of context make it difficult to provide a more specific description.*

PRINCIPAL DISPLAY PANEL - 10 mL Vial Carton - antivenin 03

PRINCIPAL DISPLAY PANEL - 10 mL Vial Carton - antivenin 03

This package contains an antivenin for North American Coral Snake bites which is intended for intravenous injection. Each vial is standardized for potency in mice and contains approximately 2 mg of M. fulvius venom. The product is ideally stored between 2° and 8° C (36° and 46° F) and should be used within 4 hours of reconstitution and dilution. The enclosed prescribing information provides the dosage, reconstitution, and administration instructions. The manufacturer is Wyeth Pharmaceuticals LLC, a subsidiary of Pfizer Inc., Philadelphia, PA 19101. No other information is available due to the medical nature of the text.*

* 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.