Product Images Duloxetine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 12 images provide visual information about the product associated with Duloxetine NDC 50090-6899 by A-s Medication Solutions, 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.

figure1 - duloxetine fig1

figure1 - duloxetine fig1

This text appears to be a graph presenting data on the time from randomization to relapse for patients receiving either a placebo or duloxetine treatment. The x-axis represents the time in days (ranging from 100 to 250), and the y-axis represents the number of patients with relapse. The data points are not available, as only the axis labels and treatment names are visible in the text.*

figure10 - duloxetine fig10

figure10 - duloxetine fig10

figure2 - duloxetine fig2

figure2 - duloxetine fig2

This text appears to be a graph showing the proportion of patients with relapse over time based on different treatments. The treatments mentioned are "Placebo" and "DULOXETINE". The graph has a time scale from 0 to 300 days and shows the proportion of patients on the y-axis, ranging from 0.0% to 10%. It seems to be comparing the effectiveness of the two treatments in preventing relapse in patients.*

figure3 - duloxetine fig3

figure3 - duloxetine fig3

figure4 - duloxetine fig4

figure4 - duloxetine fig4

figure5 - duloxetine fig5

figure5 - duloxetine fig5

figure6 - duloxetine fig6

figure6 - duloxetine fig6

figure7 - duloxetine fig7

figure7 - duloxetine fig7

The text is not available.*

figure8 - duloxetine fig8

figure8 - duloxetine fig8

figure9 - duloxetine fig9

figure9 - duloxetine fig9

structure - duloxetine structure

structure - duloxetine structure

Label Image - lbl500906899

Label Image - lbl500906899

* 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.