Product Images Fentanyl
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 11 images provide visual information about the product associated with Fentanyl NDC 52959-658 by H.j. Harkins Company, 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.
Structural Formula - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 01
Figure 1 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 02
This is a description of a three-layered product: a backing layer, an adhesive matrix layer, and a protective liner. It is unclear what kind of product it refers to, as there is no further context.*
Figure 2 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 03
Fentanyl Transdermal System - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 04
This is a description of a three-layered product. The first layer is the backing layer, the second layer is the adhesive matrix layer, and the third layer is the protective liner. Unfortunately, there is no additional information available to provide a more detailed description.*
Instruction Figures 1, 2, 3, and 4 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 05
Instruction Figure 4 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 06
Instruction Figure 6 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 07
Instruction Figure 7 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 08
Instruction Figure 8 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 09
Instruction Figures 9 and 10 - 893e63e0 f8c7 4899 88b0 a8d41ffcfe22 10
Principal Display Panel - 100 mcg/hr Carton - label
This is a prescription drug called Fentanyl TD patch used for pain treatment. It comes in a 100mcg/hr dose and the lot number is FSSO00XA. The manufacturer is Apotex Corporation and the expiration date is 04/12. The dosage information is found in the insert or should be directed by a doctor. The pill ID is not available. The drug should be kept in a cool place and should be taken under the direction of a doctor.*
* 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.