Product Images Lyrica
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Product Label Images
The following 14 images provide visual information about the product associated with Lyrica NDC 68258-7047 by Dispensing Solutions, 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.
NDC 68258-7047-XX - NDC 68258 7047 XX PFIZER
This is a description of a medicine that is a white hard-gelatin capsule containing 150 mg of pregabalin manufactured by Pfizer Pharmaceuticals LLC. The capsule has Pfizer printed on the cap and PGN 150 on the body. The bulk source National Drug Code (NDC) is 00071-1016-68. It is packaged in a tight/light-resistant container with a warning to keep out of children’s reach and caution not to transfer to any person other than the patient who was prescribed the medicine. The medicine should be stored at 77° F. It is recommended to avoid alcohol while taking the medicine as it may cause drowsiness.*
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The text seems to be a chart or a table that displays the percentage of patients who have improved after taking different drugs. Two drugs seem to be mentioned, Pregatalin and Pregabalin, given in specific doses three times a day. Another term "Placata" is also present, but its context is not clear. The chart also displays percentages of improvement in pain from baseline, which could suggest that the drugs are pain medications. However, the text is not entirely readable, and it's not possible to extract more information from it.*
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The text provides a table showing the percentage of subjects who improved from baseline to week 12 using Pregevalin and Placeso. However, there is not enough information to interpret the table or what is being improved. The text is not readable as it contains non-English characters such as "w0".*
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This is a report showing the percentage of subjects who improved after taking Pregabalin and Placebo. The percentage of those who improved is 100% but there are additional data points which are not readable due to the text being in a graphic format.*
* 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.