Product Images Diphenhydramine Hydrochloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Diphenhydramine Hydrochloride NDC 51662-1374 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.

HOW SUPPLIED - HOW SUPPLIED

HOW SUPPLIED - HOW SUPPLIED

LOGO - LOGO

LOGO - LOGO

APP Pharmaceuticals, LLC is a pharmaceutical company located in Schaumburg, IL 60173.*

Serialized Vial Labeling 51662 1374 1 Updated

Serialized Vial Labeling 51662 1374 1 Updated

This is a medication that comes in a single-dose vial. The text includes a product code (00351662137413) and a package insert. The medication is distributed by HF Acquisition Co. and should be protected from light and freezing. No information about the medication itself is provided.*

SERIALIZED LABELING - Serialized Vial

SERIALIZED LABELING - Serialized Vial

Not available.*

STRUCTURE - Structure

STRUCTURE - Structure

Vial Label 51662 1374 1 Updated

Vial Label 51662 1374 1 Updated

This is a description of a medication with the name Diphenhydramine Hydrochloride injection. It is high potency and contains 50 mg per mL. It can be used intramuscularly or intravenously. The medication comes in a single dose vial of 1mL and should be protected from light and freezing. It is labeled as prescription-only and has a lot number and expiration date of 402083E available.*

VIAL LABEL - Vial Label

VIAL LABEL - Vial Label

This is a description of Diphenhydramine Hel Injection, a high potency medication that is administered through Intramuscular or Intravenous use. It comes in a 1ml single-dose vial and should be protected from freezing and light. The product has been assigned the NDC number 63323-664-01 and the internal code 660401.*

* 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.