  According to the features of drug addiction, this paper constructs an
SEIR-based SUC model to describe and predict the spread of drug addiction.
Predictions are that the number of drug addictions will continue to fluctuate
with reduced amplitude and eventually stabilize. To seek the fountainhead of
heroin, we identified the most likely origins of drugs in Philadelphia, PA,
Cuyahoga and Hamilton, OH, Jefferson, KY, Kanawha, WV, and Bedford, VA. Based
on the facts, advised concentration includes the spread of Oxycodone,
Hydrocodone, Heroin, and Buprenorphine. In other words, drug transmission in
the two states of Ohio and Pennsylvania require awareness. According to the
propagation curve predicted by our model, the transfer of KY state is still in
its early stage, while that of VA, WV is in the middle point, and OH, PA in its
latter ones. As a result of this, the number of drug addictions in KY, OH, and
VA is projected to increase in three years. For methodology, with the Principal
component analysis technique, 22 variables in socio-economic data related to
the continuous use of Opioid drugs was filtered, where the 'Relationship' Part
deserves a highlight.
  Based on them, by using the K-means algorithm, 464 counties were categorized
into three baskets. To combat the opioid crisis, a specific action will discuss
in the sensitivity analysis section. After modeling and analytics, innovation
is required to control addicts and advocate anti-drug news campaigns. This part
also verified the effectiveness of model when $d_1<0.2; r_1,r_2,r_3<0.3;
15<\beta_1,\beta_2,\beta_3<25$. In other words, if such boundary exceeded, the
number of drug addictions may rocket and peak in a short period.
