Product Images Naloxone Hydrochloride
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Product Label Images
The following 5 images provide visual information about the product associated with Naloxone Hydrochloride NDC 17478-042 by Akorn, 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.
Naloxone HCI is a medication that comes in a 1 mL single-dose vial for intravenous, intramuscular or subcutaneous use. It is important to protect this medication from light. This medication is manufactured by Akorn Inc. and the lot number is not provided. The expiration date is not visible.*
Naloxone Hydrochloride Injection, USP is a medication administered through intravenous, intramuscular, or subcutaneous routes. It is used as an antidote to opiate overdose and can reverse the effects of an overdose quickly. The National Drug Code for this medication is NDC 17478:041-01.*
This is a description of Naloxone HCI, a sterile and nonpyrogenic medicine used for injection. The package insert with usual dosage is required for use. It is available in a 4 mg/10mL dosage and should be stored at 20° to 25°C (68° to 77°F). The medicine can be used intravenously, intramuscularly, or subcutaneously. The manufacturer is Akorn Inc. The package is a 10mL multi-dose vial to be protected from light. The revision is NLABL Rev.0520 9 7.*
This is a description of Naloxone Hydrochloride Injection, USP, which is intended for intravenous, intramuscular or subcutaneous use. Each ml contains 0.4 mg of active Naloxone Hydrochloride and sodium chloride as an inactive ingredient. Preservatives such as Methylparaben and Propylparaben are included in this injection. The usual dosage should be referred to the package insert. Store it at a temperature of 20°C to 25°C and protect from light. It is manufactured by Akon, Inc. The package has a 10 mL multi-dose vial.*
* 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.