Product Images Methylphenidate Transdermal System
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 19 images provide visual information about the product associated with Methylphenidate Transdermal System NDC 0574-2430 by Padagis Us 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.
This is a description for a transdermal system for delivering methylphenidate in patches. The system delivers 10mg over 9 hours, and each patch should be worn for approximately 9 hours. The pack contains 30 patches.*
This appears to be a description of Methylphenidate Transdermal System, a patch containing Methylphenidate, a medication used to treat ADHD and narcolepsy. The patch contains 30 units and is meant to be placed on the skin.*
The text appears to be a label or packaging for a transdermal system that delivers 20mg of methylphenidate over 9 hours, with a rate of 2.2 mg/hr. The system contains 30 patches, and it is recommended to wear one for approximately 9 hours. The rest of the text is not legible.*
Methylphenidate Transdermal System is a patch that delivers 30mg of medication over 9 hours (3.3mg/hr) and should be worn for approximately 9 hours. It comes in a package containing 30 patches.*
This is a chart showing the concentration of d-Methylphenidate in ng/mL over time (in hours) after the application of a Transdermal System. The concentration levels are given at various time intervals ranging from 0 to 30 hours.*
The text describes the components of a product or material that includes a backing material on the outside, an adhesive containing methylphenidate, and a protective liner that needs to be removed before applying the product. However, without further information or context, it is not clear what kind of product or material this is or what its intended use is.*
* 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.