Product Images Oxycodone Hydrochloride

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Oxycodone Hydrochloride NDC 42549-643 by Stat Rx Usa 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.

Oxycodone C-II 15mg Label Image - Oxycodone C II 15 mg Label 42549

Oxycodone C-II 15mg Label Image - Oxycodone C II  15 mg Label  42549

This appears to be a label of a medication bottle. The medication is Oxycodone HCL with a strength of 15mg per tablet. It was manufactured by Qualitest Pharmaceuticals and the lot number is BLO31001. The expiry date is listed as 09/12.*

Oxycodone C-II 30mg Label Image - Oxycodone C II 30 mg Label 42549

Oxycodone C-II 30mg Label Image - Oxycodone C II  30 mg Label  42549

This is a description of a box of tablets containing Oxycodone HCILUSP, with a concentration of 30 mg per tablet. It also includes the company name, Unites Pharmaceutical, and a lot number, BLO31001. There are also some contact details of the company, including the address and phone number. There is some other unclear text and symbols that cannot be used to make a useful description.*

This is an image of the structural formula for oxycodone hydrochloride. - oxycodone 1

This is an image of the structural formula for oxycodone hydrochloride. - oxycodone 1

This is a visual representation of the results of a dose-proportionality study. - oxycodone 2

This is a visual representation of the results of a dose-proportionality study. - oxycodone 2

The text is describing a dose-proportionality study for Oxycodone Hydrochloride Tablets in single doses of 5mg, 15mg, and 30mg. The graph displayed in Figure 1 plots the concentration of the drug in ag/mL over time in hours.*

* 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.