Cross-section (Cross Section)
Scopolamine Trandermal System Patch, Extended Release
Product Images NDC 63629-8452
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 8 technical images submitted to the FDA as part of the official labeling for Scopolamine Trandermal System (NDC 63629-8452). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Bryant Ranch Prepack, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Figure-1 (Figure 1)
The text describes a clear and disposable release liner with a metallic adhesive surface and a tan backing membrane with an imprint "SCO1mg/3 days". It also includes a figure labeled as "Figure 1".*
Figure-2 (Figure 2)
This text is a simple instruction to cut open a package along a dashed line as shown in Figure 2.*
Figure-3 (Figure 3)
Figure-4 (Figure 4)
This text is describing a tan-colored transdermal system with a metallic adhesive surface and a disposable plastic backing. There is also a reference to Figure 4, which is likely an accompanying image of the system.*
Figure-5 (Figure 5)
This is a tan-colored transdermal system. A visual representation of it can be found in Figure 5.*
Label (Lbl636298452)
This is a medication label for Scopolamine Transdermal System, which is used to prevent nausea and vomiting caused by motion sickness or anesthesia. It is a patch that contains 1.3 mg of scopolamine, which is delivered over 3 days. It should be kept out of reach of children, stored between 20° to 25°C, and caution should be taken since it may cause drowsiness and blurred vision. The label warns not to use if the seal is broken and to only use one patch at a time. It contains four systems per prescription.*
Structure (Structure)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
