Cymbalta
Product Images NDC 42549-646

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 9 technical images submitted to the FDA as part of the official labeling for Cymbalta (NDC 42549-646). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Stat Rx Usa Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Cymbalta 30 mg Label Image (Cymbalta 30mg Label 42549)

FDA Label Image

Structural Formula (Cymbalta 01)

FDA Label Image

Figure 1 (Cymbalta 02)

FDA Label Image

Figure 2 (Cymbalta 03)

FDA Label Image

Figure 3 (Cymbalta 13)

FDA Label Image

Figure 4 (Cymbalta 14)

FDA Label Image

Figure 5 (Cymbalta 15)

Figure 5 (Cymbalta 15)
This appears to be a graph showing the percentage of patients improved in pain from baseline while taking a placebo versus taking CYM60/120 mg once daily. The x-axis shows the percent improvement in pain and the y-axis shows the percentage of patients improved.*
FDA Label Image

Figure 6 (Cymbalta 16)

Figure 6 (Cymbalta 16)
The text is a graph showing the percentage of patients improved in pain from baseline, with the x-axis showing percent improvement and the y-axis showing the percentage of patients. The two lines on the graph represent the improvement of patients taking a placebo and those taking CYMBO at 80% improvement. The numbers on the x-axis range from 210 to 100.*
FDA Label Image

Figure 7 (Cymbalta 17)

Figure 7 (Cymbalta 17)
This is a chart that shows the percentage of patients who improved while taking either a placebo or a medication called CYMB0/120 milligrams once a day. The chart also shows the percent improvement in pain from baseline (BOCF). The percentages range from 0 to 100.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.