Product Images Oxybutynin Chloride

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Product Label Images

The following 7 images provide visual information about the product associated with Oxybutynin Chloride NDC 43063-851 by Pd-rx Pharmaceuticals, Inc., 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.

43063851 label - 43063851

43063851 label - 43063851

Each tablet contains Oxybutynin Chloride, USP 5 mg. The recommended dosage for adults is one tablet two to four times a day, and for pediatric patients, it is one tablet two to three times a day. The medication is dispensed in a tight, light-resistant container and should be stored at 20°C to 25°C (68°F to 77°F). It is important to keep the medicine out of the reach of children. The medication is manufactured by NDOC and marketed and packaged by PD-Rx Pharmaceuticals. The package contains 90 tablets.*

Structural Formula - figure 1 structure

Structural Formula - figure 1 structure

Table 1 - figure 2 table1

Table 1 - figure 2 table1

This text provides information about the pharmacokinetic parameters of R- and S-Oxybutynin. It includes measurements of G (ng/ml), Toa (1), AUC (ng=h/mL), and UGy (ng/ehiml) for both R-Oxybutynin and S-Oxybutynin. The values for these parameters are given in parentheses for each molecule.*

Figure 1 - figure 3 figure1

Figure 1 - figure 3 figure1

Table 2 - figure 4 table2

Table 2 - figure 4 table2

Figure 2 - figure 5 figure2

Figure 2 - figure 5 figure2

Table 3 - figure 6 table3

Table 3 - figure 6 table3

Oxybutynin Chloride is a medication that may cause several adverse events in different body systems. The medication may cause urinary tract infection, insomnia, nervousness, dizziness, somnolence, headache, blurred vision, dry mouth, constipation, nausea, dyspepsia, urinary hesitation, and urinary retention. The percentages of these events vary from 5% to 714%.*

* 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.