Product Images Trospium Chloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Trospium Chloride NDC 0574-0145 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.

7R2RC trospium chloride tablets

7R2RC trospium chloride tablets

This is a drug label for Trospium Chloride tablets which come in a container with 60 tablets. The drug is meant for adults and should be kept away from children. It should be dispensed in a tight container according to USP guidelines and stored at a controlled room temperature of 68° to 77°F. The drug is manufactured by Perrigo in Minneapolis, MN. The label advises consulting the package insert for prescribing information.*

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This is a graph showing plasma concentration (in nanograms per milliliter) over time (in hours after dosing). The x-axis represents time, while the y-axis represents plasma concentration.*

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This appears to be a chart or graph showing a "mean change" in something, likely a medical treatment based on the mention of "placebo" and "week of treatment." The y-axis shows the measurement in "£SE" units (which is unclear what it stands for), while the x-axis shows time periods in weeks. The treatments being compared are "T - Placebo" and "TrosPum Chlorioe" (assuming this should be spelled "chloride" and "Tablets" based on context clues). Without more context or information, it is unclear what specifically is being measured or what the results indicate.*

serialization template

serialization template

This text is a product label that requires the insertion of the product's serial number, lot number, and expiration date. It provides information necessary for tracking, monitoring, and maintaining product quality and safety.*

* 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.