Product Images Scopolamine Trandermal System

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Scopolamine Trandermal System NDC 63629-8452 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.

cross-section - cross section

cross-section - cross section

figure-1 - figure 1

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

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-3 - figure 3

figure-4 - figure 4

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

figure-5 - figure 5

This is a tan-colored transdermal system. A visual representation of it can be found in Figure 5.*

Label - lbl636298452

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

structure - structure

* 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.