Product Images Pregabalin
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 14 images provide visual information about the product associated with Pregabalin NDC 71610-820 by Aphena Pharma Solutions - Tennessee, 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.
Figure 3 - pregabalin 04
![pregabalin-04.jpg Figure 3 - pregabalin 04](https://ndclist.com/assets/spl/images/15ea709a-d502-41ea-e063-6394a90ad97d/400x-pregabalin-04.jpg)
This information provides data on the percentage of patients who experienced improvement in pain levels after different treatment regimens involving Pregabalin dosages and a placebo. The percentages range from 0% to 100% across the various dosages of Pregabalin and the placebo.*
Figure 5 - pregabalin 06
![pregabalin-06.jpg Figure 5 - pregabalin 06](https://ndclist.com/assets/spl/images/15ea709a-d502-41ea-e063-6394a90ad97d/400x-pregabalin-06.jpg)
This data shows the percentage of patients who experienced improvement in pain compared to the baseline after taking different dosages of Pregabalin and placebo. The percentage of improvement is recorded at various intervals for Pregabalin 100 mg three times a day, Pregabalin 50 mg three times a day, and Placebo. The graph visually represents the efficacy of these treatments in reducing pain levels in patients.*
Figure 9 - pregabalin 09
![pregabalin-09.jpg Figure 9 - pregabalin 09](https://ndclist.com/assets/spl/images/15ea709a-d502-41ea-e063-6394a90ad97d/400x-pregabalin-09.jpg)
This text provides information on the percentage of patients experiencing improvement in pain after taking different doses of Pregabalin and Placebo. The doses mentioned are 600 mg, 450 mg, and 300 mg per day for Pregabalin, with a comparison to Placebo. It also lists the percentage of improvement in pain from the baseline for each group.*
* 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.