Product Images Fentanyl Citrate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Fentanyl Citrate NDC 0641-6289 by Hikma Pharmaceuticals Usa Inc., 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.
unit label - fentanyl citrate injection usp novaplus 2
This text contains information about a Fentanyl Citrate Injection, USP, with a recommended dosage of 400 micrograms per 2mL for intravenous or intramuscular use. It emphasizes protection from light and advises to discard any unused portion. The product comes in a 2mL single-dose vial manufactured by Hikma under the brand "novaplus." It also includes important identification numbers such as NDC (0641-6288-01) and a lot number for tracking purposes.*
unit label - fentanyl citrate injection usp novaplus 4
This text contains information regarding a single dose of an injection product. The specific product is a Citrate Injection, USP. The recommended usual dosage is mentioned for intravenous use. The text also includes details such as NDC number and instructions for handling and disposing of the unused portion of the product. Additional details may not be available due to the text quality.*
carton - fentanyl citrate injection usp novaplus 5
This is a product description for Fentanyl Citrate Injection, USP in a 20mL Single Dose Vial. The medication contains fentanyl citrate equivalent to 50mg fentanyl base per mL. It is indicated for slow intravenous use by hospital personnel trained in the use of narcotic analgesics. The solution is preservative-free and should be discarded if unused. For complete prescribing information, refer to the packaging insert. It is manufactured by Hi-Tech Pharmacal Co., Inc. in Berkeley Heights, NJ.*
* 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.