Product Images Duloxetine Delayed-release

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 11 images provide visual information about the product associated with Duloxetine Delayed-release NDC 68788-8362 by Preferred 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.

Duloxetine Delayed-Release Cap USP 40mg - 2C233B3F 83DE 40C4 9F1D 81F901F89459 00

Duloxetine Delayed-Release Cap USP 40mg - 2C233B3F 83DE 40C4 9F1D 81F901F89459 00

Chemical Structure - duloxetine 01

Chemical Structure - duloxetine 01

Figure 1 - duloxetine 02

Figure 1 - duloxetine 02

Figure 2 - duloxetine 03

Figure 2 - duloxetine 03

This text is a data chart displaying the proportion of patients with relapse and their time from randomization to relapse in days. There is no explanatory text or context provided, so it is not possible to utilize the chart without additional information.*

Figure 3 - duloxetine 04

Figure 3 - duloxetine 04

Figure 4 - duloxetine 05

Figure 4 - duloxetine 05

Figure 5 - duloxetine 06

Figure 5 - duloxetine 06

Figure 6 - duloxetine 07

Figure 6 - duloxetine 07

Figure 8 - duloxetine 08

Figure 8 - duloxetine 08

This appears to be a table or graph showing the percentage of patients who have experienced improvement in pain, with a column labeled "Percent Improvement in Pain from Baseline". However, the rest of the text is not readable and cannot provide further context or information.*

Figure 9 - duloxetine 09

Figure 9 - duloxetine 09

This is a chart showing the percentage of patients improved in pain from baseline (BOCF). The x-axis represents the time period of 1 week, while the y-axis shows the percentage of patients improved on a scale of 0-100.*

Figure 10 - duloxetine 10

Figure 10 - duloxetine 10

* 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.