Product Images Methylphenidate Hydrochloride

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Product Label Images

The following 7 images provide visual information about the product associated with Methylphenidate Hydrochloride NDC 63629-2459 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.

Label - lbl636292459

Label - lbl636292459

This is a prescription drug called NILD that comes in a 100 tablets bottle. The drug contains Methylphenidate Hydrochloride in USP 18 mg strength. It should be stored at 20°C to 25°C and out of the reach of children in a tightly closed container. The container should be light-resistant and child-resistant. The NDC number is 63629-2459-1.*

structural formula - methylphenidate hydrochloride extended release tab 1

structural formula - methylphenidate hydrochloride extended release tab 1

Figure 1 - methylphenidate hydrochloride extended release tab 2

Figure 1 - methylphenidate hydrochloride extended release tab 2

This is a table showing the mean plasma concentration of Methylphenidate at different dosage regimens. The first regimen is a once daily dose of extended-release Methylphenidate HCI 18mg tablets, and the second regimen is a three times daily dose of Methylphenidate 5mg. The concentrations are measured in ng/mL and range from 16 to 32.*

Figure 2 - methylphenidate hydrochloride extended release tab 3

Figure 2 - methylphenidate hydrochloride extended release tab 3

Figure 3 - methylphenidate hydrochloride extended release tab 4

Figure 3 - methylphenidate hydrochloride extended release tab 4

Trigenlogo1_thumb10 - methylphenidate hydrochloride extended release tab 5

Trigenlogo1_thumb10 - methylphenidate hydrochloride extended release tab 5

Trigen logo - methylphenidate hydrochloride extended release tab 6

Trigen logo - methylphenidate hydrochloride extended release tab 6

* 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.