Product Images Epinephrine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 11 images provide visual information about the product associated with Epinephrine NDC 51662-1223 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.
CASE LABEL - 1000240 0115 1695 30 Epinephrine auto injector .15mg
This is a description of Epinephrine Injection in an auto-injector format. It is used to treat allergic emergencies in patients who weigh between 33 and 66 pounds. The product is manufactured by Impax and the revision date is July 2016.*
0.3 mL CASELABEL - 1000250 0115 1694 30 Epinephrine auto injector .30mg
This is a medication with NDC (National Drug Code) number 0115-1694-30. The name of the medication is Epinephrine Injection, USP, which is available in an auto-injector form containing 0.3 mg of the medication. This medication is used for treating allergic emergencies in patients weighing over 66 lbs. The medication is manufactured by Impax and the product was last revised in July 2016.*
INST 1 - Instructions 1
The text seems to describe a carrying case that may be used to store and transport an auto-injector. The case may have an end cap and a red tip, as well as a viewing window. However, the dimensions are not provided, so it's not possible to know how big the case is.*
INST 2 - Instructions 2
This text is describing a carrying case with a viewing window for an auto-injector. There are also end caps included in the package, one of which has a red tip. No other information is available.*
INST 3 - Instructions 3
INST 4 - Instructions 4
INST 5 - Instructions 5
INST 6 - Instructions 6
SERIALIZED LABEL - Serialized 51662 1222 1 Epinephrine 0.15
0.3mL SERIALIZED LABEL - Serialized 51662 1223 1 Epinephrine 0.30
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.