Product Images Oxybutynin Chloride
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Product Label Images
The following 8 images provide visual information about the product associated with Oxybutynin Chloride NDC 71335-1494 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.
This is likely a table comparing two different forms of a medication called Oybutynin. The parameters being compared include G (possibly a measure of drug concentration in the blood), Toa (unclear what this represents), AUC (area under the curve of drug concentration versus time in the blood), and UGy (another measure of drug concentration in the urine). However, the units and values seem to be incomplete or incorrectly -ed, so the information presented is not completely clear.*
The given text seems to be some chemical or scientific data which cannot be understood without proper context or reference. Thus, the useful description cannot be generated.*
This is a report of adverse events associated with Oxybutynin chloride involving various body systems such as infections, psychiatric disorders, nervous system disorders, eye disorders, gastrointestinal disorders, renal and urinary disorders. Some common adverse events reported include urinary tract infections, insomnia, nervousness, dizziness, dry mouth, constipation, nausea, dyspepsia, and urinary retention. However, the percentage of occurrences varies among different disorders.*
These are tablets of Oxybutynin Chloride 5mg packaged by Ergant Ranch. This product can be compared to Ditropan 5mg Tablet by KVK-TECH, INC. It comes in a light blue color and is shaped round with the inscription A84. The tablets come in a container that is light-resistant so the expiry date of MM/YY must be accurate. The tablets are stored at a room temperature range of 20°C-25°C (68°F-77°F). The NDC is 995091 and the package size is 30 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.