Product Images Fentanyl
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 12 images provide visual information about the product associated with Fentanyl NDC 63629-4813 by Bryant Ranch Prepack, 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.
12mcg-hr-Carton.jpg - 12mcg hr Carton
The text is not-readable and contains random characters and numbers. It is not possible to generate a useful description.*
12mcg-hr-Pouch.jpg - 12mcg hr Pouch
The Fentanyl Transdermal System is a product designed to deliver 12 meg/h of Fentanyl for a period of 72 hours. The system should be removed prior to undergoing any MR procedure, to prevent burns. It is emphasized that the use of Fentanyl Transdermal System for mild pain or as-needed opioid medication should be avoided. Use is only recommended for patients who are already tolerant to other narcotic opioid medications, rendering it unsafe for patients who are not opioid tolerant. Each transdermal system comprises 1.38 mg Fentanyl. Fentanyl Transdermal Systems should not be used if the seal on the blister is broken or by children. For important safety information, consult a Medication Guide that comes with the product. The manufacturer is Apotex Corp. in Weston, FL 33326.*
diagram1 - 2 PI layer
This appears to be a list of three items: "Release Liner," "Drug Containing Layer," and "Backing Layer." There is not enough context to provide a useful description beyond that.*
Instruction-figureA-D.jpg - Instruction figureA D
Instruction-figureE.jpg - Instruction figureE
Instruction-figureF.jpg - Instruction figureF
Instruction-figureG.jpg - Instruction figureG
Instruction-figureH.jpg - Instruction figureH
Instruction-figureI-J.jpg - Instruction figureI J
Structure - PI description
figure1 - PI figure1
Label Image - lbl636294813
* 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.