Product Images Edaravone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Edaravone NDC 81298-7050 by Long Grove 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.

Chemical Structure - end02 0001 01

Chemical Structure - end02 0001 01

Figure 1 - end02 0001 02

Figure 1 - end02 0001 02

Principal Display Panel – 100 mL Carton Label - end02 0001 03

Principal Display Panel – 100 mL Carton Label - end02 0001 03

This text provides detailed information about the dosage, usage, storage, and cautions for an Edaravone Injection solution. The package contains two single-dose bags, each with 100 mL volume and containing 30 mg of edaravone. Instructions are given for intravenous infusion, to be administered over a period of 30 minutes. The storage conditions are specified, and it is emphasized not to add or mix the solution with other drugs. The regulatory classification indicates that this is a prescription-only drug, and the ingredients in each bag are listed. It also mentions the need to protect the solution from light and to discard any unused portions.*

Principal Display Panel – 100 mL Bag Label - end02 0001 04

Principal Display Panel – 100 mL Bag Label - end02 0001 04

This is a description of Edaravone Injection, a medication for intravenous infusion. Each 100 mL bag contains 30 mg of edaravone along with inactive ingredients. It is recommended to infuse each bag over a period of 30 minutes. The medication should be stored at specific temperatures and protected from light. The manufacturer is Long Grove Pharmaceuticals, LLC. It is important to follow dosage instructions, not mix with other drugs, and discard any leaking bags to maintain sterility. The product should be used within 24 hours of opening.*

* 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.