Nicotine Transdermal System Patch, Extended Release
Product Images NDC 70000-0510

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Nicotine Transdermal System (NDC 70000-0510). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cardinal Health, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

14mgcarton.jpg (14mgcarton)

This text appears to be describing a transdermal patch that helps to quit smoking by delivering nicotine to the body. It mentions the dosage delivered and age restrictions. The packaging suggests that there is a self-help guide inside and also mentions the brand HABITROL.*

FDA Label Image

21mgcarton.jpg (21mgcarton)

This is a drug facts label for a nicotine transdermal system patch. The patch is a stop smoking aid, delivered over 24 hours. This specific patch is Step 1 for those who smoke more than 10 cigarettes per day. It includes a behavior support program with a self-help guide. The minimum age to use this patch is 18 years old. The active ingredient is not mentioned, but it is compared to another brand, Habitrol. There are individual pouches included for protection, and there is a support phone number provided.*

FDA Label Image

7mgcarton.jpg (7mgcarton)

This is a drug facts label for a nicotine transdermal patch used as a stop smoking aid. The product is in step 3 and is delivered over 24 hours. The label warns not to smoke while wearing the patch and provides instructions for use, as well as a phone number to call for more information. It also provides the active ingredient, nicotine, and notes that it is comparable to the brand name product Habitrol. A self-help guide is included inside the package.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.