Product Images Benztropine Mesylate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Benztropine Mesylate NDC 0143-9233 by Hikma Pharmaceuticals Usa 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.

Chemical Structure - benztropine mesylate injection vial 1

Chemical Structure - benztropine mesylate injection   vial 1

Benztropine Mesylate Injection, USP Container Label - benztropine mesylate injection vial 2

Benztropine Mesylate Injection, USP Container Label - benztropine mesylate injection   vial 2

This is a drug label for Benztropine Mesylate Injection, USP for Intravenous or Intramuscular Use. It comes in a 2 mL single-dose vial with a concentration of 1 mg/mL. The label includes the National Drug Code (NDC) 0143-9233-01 and is available only by prescription (Rx) from Hikma. The lot number and expiration date are also specified.*

Benztropine Mesylate Injection, USP Carton Label - benztropine mesylate injection vial 3

Benztropine Mesylate Injection, USP Carton Label - benztropine mesylate injection   vial 3

This is a description of Benztropine Mesylate Injection, which comes in 5x2 mL Single-Dose Vials for Intravenous or Intramuscular Use. The package has two different NDC codes (0143-6233-05 and 0143-9233-05) and each vial contains 1mg/mL. The manufacturer is Hikma.*

Representative Serialization Image - benztropine mesylate injection vial 4

Representative Serialization Image - benztropine mesylate injection   vial 4

This is a product label or tag that includes information such as the GTIN (Global Trade Item Number), SN (Serial Number), EXP (Expiration) date and LOT number. The has accurately recognized the alphanumeric characters in 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.