Product Images Epinephrine
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Epinephrine NDC 70121-1660 by Amneal Pharmaceuticals Llc, 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.
structure - epinephrine injection usp 30 mg per 30 ml 1
001 - epinephrine injection usp 30 mg per 30 ml 2
This text appears to be an excerpt from a product label for a solution of Epinephrine. The label includes information on the concentration of the solution (30 mg/30 mL), instructions to dilute before intravenous infusion, a caution that it is not for ophthalmic use, and details about the administration routes (intravenous infusion, intramuscular, and subcutaneous). It also mentions the NDC number as 70121-1660-2.*
002 - epinephrine injection usp 30 mg per 30 ml 3
This is a label for Epinephrine injection, showing details such as GTIN number, serial number, expiration date, LOT number, dosage information, storage instructions, and manufacturer information. The injection is used for intravenous infusion, intramuscular, and subcutaneous use but not for ophthalmic use. It is important to dilute before intravenous infusion and discard 30 days after the initial use. The product contains epinephrine, sodium chloride, sodium metabisulfite, hydrochloric acid, chlorobutanol, and water for injection. Prior to intravenous infusion, dilution with Dextrose or Dextrase and Sodium Chloride Solutions is recommended. The label also provides guidance on checking solution clarity and dilution ratios, with a mention of the full prescribing information for recommended dosages and storage conditions. Additionally, it specifies the storage temperature limits and instructions to protect from light and freezing.*
* 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.
