Product Images Atropine Sulfate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Atropine Sulfate NDC 51662-1527 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 CARTON LABELING - 51662 1527 1 Atropine HF label image including serialization

SERIALIZED CARTON LABELING - 51662 1527 1 Atropine HF label image including serialization

Atropine Sulfate Injection, USP 1 mg/10mL is a medication intended for injection use. The product is available in a package insert. Storage temperature of this product is between 15°C and 30°C (59°F and 86°F). For further information, see USP Controlled Room Temperature. The primary active ingredient is Atropine Sulfate at a concentration of 0.1 mg/mL. The product is distributed by a company named B et by L A and acquired by Mukilteo, WA 98275. Additional information comes in the form of identification numbers: (01) 00351662152713, (17) 300101, (21) 134035863899, and (10) 123456.*

DOSAGE - Dosage

DOSAGE - Dosage

This appears to be a table containing recommended dosage for different conditions such as antisialagogue or other antivagal, organophosphorus or muscarinic mushroom poisoning, and bradyasystolic cardiac arrest. The table provides the recommended dose for adults and the recommended frequency of dose repetition for each condition. The table also specifies a maximum total dose for bradyasystolic cardiac arrest.*

HOW SUPPLIED - How Supplied

HOW SUPPLIED - How Supplied

This is a description of a medical product with Stock No. 3340 identified by the National Drug Code (NDC) No. 76329-3340-1. The product is 10mL in size and is intended for intravenous use.*

STRUCTURE - Structure

STRUCTURE - Structure

* 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.