Product Images Crofab

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Crofab NDC 50633-110 by Btg International 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.

figure1 - crofab 01

figure1 - crofab 01

This document appears to be a medical record or chart for a patient. It includes data on "platelets," which were measured at "107/mm" and the document also shows a graph that measures something over the course of several hours. There is some information about different patients, including their age and the medication they are taking. However, there is not enough context to determine the purpose of the data or the condition of the patient.*

figure2 - crofab 02

figure2 - crofab 02

Vial-Label - crofab 03

Vial-Label - crofab 03

Carton-Label - crofab 04

Carton-Label - crofab 04

CroFab® is a medication used for the treatment of venomous snake bites. It is an immune fab (fragment antigen-binding) containing a mixture of purified antibody fragments derived from the blood of sheep that have been immunized with the venom of four different species of snakes. Each vial of CroFab® contains antibodies against 18 mL of venom. The package consists of two vials that need to be reconstituted with 0.9% normal saline. The selection of mice used to test the potency has been changed; therefore, the minimum lethal dose of the venom-neutralizing units has been altered, but it does not reflect any change in the product's potency. CroFab® is a registered trademark of BTG International and distributed by BTG. The medication must be used immediately after reconstitution and stored between 2-8°C (36-46°F). It is essential not to shake the medication, and diluent is not included in the package.*

* 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.