Product Images Cyanocobalamin

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Product Label Images

The following 5 images provide visual information about the product associated with Cyanocobalamin NDC 51662-1440 by Hf Acquisition Co Llc, Dba Healthfirst, 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.

SERIALIZED LABELING - SERIALIZED LABELING

SERIALIZED LABELING - SERIALIZED LABELING

This is a description about an injection drug product with the National Drug Code (NDC) 0517-0032-25 manufactured by American Regent, Inc. The drug is Cyanocobalamin and comes in the strength of 10,000 meg/10 ml. The package size is 10 mL, and the drug is available for intramuscular (IM) or subcutaneous (SC) use only. The manufacturing date mentioned is 201130, and the lot or batch number is 16797285033. The product should be used under prescription only, and it is suggested to refer to the manufacturer's package insert for complete instructions.*

STRUCTURE - STRUCTURE

STRUCTURE - STRUCTURE

VIAL LABEL P 1 - VIAL P 1

VIAL LABEL P 1 - VIAL P 1

NDC 0517-0032-25 is an injection containing BENZYLPENICILLIN CYANOCOBALAMIN USP which is to be used for IM or SC use only. It's a multiple dose vial, with 10,000 mcg / 10 mlL concentration of CYANOCOBALAMIN. The manufacturer is American Regent Inc, and it's only available on prescription. The product is manufactured at Shirley, NY 11967.*

VIAL LABEL P 2 - VIAL P 2

VIAL LABEL P 2 - VIAL P 2

This is a medication with 1000 micrograms of Cyanocobalamin per milliliter, Benzyl Alcohol, Sodium Chloride, Water for Injection, and the pH adjusted with HCl and/or NaOH. It contains less than 625 micrograms of aluminum per liter and should be protected from light. It should be stored between 20 and 25 degrees Celsius. No further information about its use is available.*

VIAL LABEL P 3 - VIAL P 3

VIAL LABEL P 3 - VIAL P 3

* 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.