Product Images Trospium Chloride

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Product Label Images

The following 7 images provide visual information about the product associated with Trospium Chloride NDC 63629-9279 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.

Chemical Structure - image 01

Chemical Structure - image 01

Figure 1 - image 02

Figure 1 - image 02

This text represents a chart of plasma concentration in ng/mL over time (hours post-dose). The x-axis shows the hours post-dose and the y-axis shows the plasma concentration in ng/mL.*

Figure 2 - image 03

Figure 2 - image 03

This text provides information about the mean change with standard error (SE) in a clinical trial of a medication for 12 weeks of treatment. The medication is TROSPIUM CHLORIDE in tablet form and was compared to a placebo group of 256 individuals. The sample size for the TROSPIUM CHLORIDE group was 253 individuals. The results were significant with a p-value less than 0.001.*

Figure 3 - image 04

Figure 3 - image 04

Figure 4 - image 05

Figure 4 - image 05

Figure 5 - image 06

Figure 5 - image 06

This appears to be a graph or chart showing the mean change in something (likely a measurement of some sort) in weeks of treatment between a group that received a placebo and a group that took a medication called trospium chloride. However, without more information or a clearer image, it is difficult to provide a more detailed description.*

Label - lbl636299279

Label - lbl636299279

This is a medication called Trospium Chloride tablets. Each tablet contains 20mg of Trospium Chloride. It is important to keep this and all medications out of reach of children and to store it at a controlled room temperature between 20° to 25°C (68° to 77°F). It is only available through a prescription and it comes in a bottle with 60 tablets.*

* 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.